Data Analytics Course in Patna by Uncodemy

Master practical data skills through a structured program that covers analytics tools, AI applications, and hands-on projects. Receive dedicated placement support and move confidently toward a data-driven career. Begin today.

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Program Details

Data Analytics with AI — Training & Placement Program Hands-on learning designed to make you job-ready

This 5–6 month journey combines live mentoring, real-world projects, and focused placement assistance so learners in Patna develop job-ready expertise in modern data analytics.

  • 📚 Training Style: Live Projects + Case Studies + 1:1 Mentorship
  • ⏱️ Program Duration: 5–6 Months
  • 💼 Average Salary Package: ₹5-7 LPA
  • 🚀 Placement Support: Guaranteed Interview Opportunities
  • 🏢 Placement Drives: Conducted with Top MNCs & High-Growth Startups
  • 🔍 Career Focus: Data Analyst, Business Analyst, AI Analyst, Visualization Specialist
Unlock Your Potential With Our Data Analytics Course In Patna

Selecting the right Data Analytics Course in Patna can significantly accelerate growth in one of today's most sought-after fields. At Uncodemy you receive a balanced blend of foundational knowledge, advanced tools, and real-world application. The curriculum spans data handling and visualization through to machine learning and generative AI concepts. Flexible schedules, experienced instructors, and consistent placement assistance make the experience accessible for both freshers and working professionals. Whether you prefer online or offline modes, the program is built to deliver measurable skill development and career readiness within a focused timeframe.

Why Choose A Data Analytics Course ? What Will You Get?

Data analytics converts raw information into clear, actionable insights that help organizations make better decisions. Companies depend on professionals who can gather, clean, examine, and interpret data to improve results, lower risks, and uncover new possibilities. A well-structured Data Analytics Course in Patna prepares you for this demand by uniting technical skills with practical problem-solving methods.

What will you get? First, you'll acquire essential skills in data visualization, statistical analysis, and predictive modeling, empowering you to interpret and present data effectively. You'll also become proficient in industry-standard tools like Python, R, and Tableau, which are crucial for real-world applications.

The typical analytical process follows these steps:

  • Clarify the business objective — Align analysis with organizational priorities.
  • Examine the surrounding context — Evaluate market, operational, and strategic factors.
  • Survey available data sources — Identify both internal and external datasets.
  • Develop testable hypotheses — Structure questions that direct investigation.
  • Carry out systematic testing — Apply analytical methods to validate assumptions.
  • Confirm findings and recommendations — Confirm insights are reliable and implementable.
Data analytics is commonly grouped into four complementary types. Descriptive analytics summarizes what has already occurred through reports and dashboards. Diagnostic analytics investigates why particular events took place by studying patterns and relationships. Predictive analytics applies historical data and statistical models to anticipate future outcomes. Prescriptive analytics goes further by suggesting concrete actions based on the insights produced.

Why Select Uncodemy's Data Analyst Course In Patna ?

Uncodemy is recognized as a preferred choice for anyone looking for the best data analytics institute in Patna. The program brings together rigorous content, practical delivery, and strong industry linkages so learners gain both knowledge and career momentum.

Here are five key reasons to choose Uncodemy's Data Analyst course in Patna:

  • Expert instructors share real corporate experience — drawn from leading organizations.
  • Hands-on training prioritizes live projects — and tool mastery from the first session.
  • Comprehensive curriculum — spans analytics, visualization, AI, and related domains.
  • Flexible Learning: Whether you're a working professional or a full-time student, our flexible course timings ensure you can learn at your own pace.
  • Dedicated placement assistance — further increases the program's value by helping students turn newly gained skills into interview opportunities and job offers.
In summary, Uncodemy's Data Analyst Course in Patna combines expert instruction, a comprehensive curriculum, hands-on experience, flexible learning options, and dedicated career support. This holistic approach ensures that you are well-prepared to enter the competitive field of data analytics and succeed in your career. Enroll today to start your journey!
Key Reasons To Join Uncodemy

Choosing the right institute can shape how quickly and effectively you enter the data analytics field. Uncodemy concentrates on practical outcomes, flexible learning formats, and continuous support so every participant can advance at a comfortable pace while building industry-relevant capabilities.

Key advantages of training with Uncodemy:

Full placement assistance for all learners
Affordable bootcamp pricing structure
Globally recognized certification pathways
Flexible timing options for busy schedules
Special batches for professionals and students
Choice of online and offline learning modes
Personalized one-to-one mentoring sessions
Multiple live industry-style projects
Paid internship opportunity with certificate
Fully certified course curriculum
Mentors with proven industry backgrounds
Experience letter upon successful completion
Dedicated Q&A support after every session
Round-the-clock chat assistance available
One-time fee with lifetime access validity

These advantages create a supportive setting that places equal weight on skill building and career progression.

Engaging Data Analyst Course Classes In Patna

Uncodemy offers an engaging Data Analyst course in Patna, designed to provide a comprehensive learning experience. Our interactive classes combine theory with hands-on practice, ensuring you understand both the core concepts and their real-world applications. The course covers essential tools like Python, R, SQL, Tableau, and Excel, with live projects, case studies, and data-driven problem-solving exercises. Led by industry experts, our instructors guide you through every step, offering personalized support and mentorship. With a focus on practical learning, you'll build a strong portfolio and gain the skills necessary to excel in the competitive data analytics field.

  • Industry-relevant curriculum.
  • Experienced trainers.
  • Hands-on projects.
  • Affordable Data Analytics course fee.
  • Placement assistance.
  • Practical exposure through internships.
  • Flexible learning options.
  • Personalized mentorship.

Uncodemy is recognized for its strong technical expertise in certified courses like Data Analytics. Plus, we offer lifetime access to essential learning materials, including books and practice papers, all with no hidden fees.

Curriculums for Data Analytics Training Courses in Patna

Data Analytics Curriculum

Curriculum designed by IIT faculty and industry experts.

time
120+

Hours of Content

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75+

Live Sessions

tools
10+

Tools and Software

Set the Basics Right

Establishing a firm foundation is essential before moving into specialized techniques. Early modules introduce core programming ideas, statistical thinking, and essential data-handling practices. Learners then progress to visualization platforms, machine learning methods, and modern AI applications. This orderly pathway ensures every participant develops both conceptual clarity and practical fluency with the tools used in actual workplaces.

Here's a detailed overview of what you can expect from our Data Analytics course curriculum:

1. Python for Data Analytics

  • Need for Programming
  • Advantages of Programming
  • Overview of Python
  • Organizations using Python
  • Python Applications in Various Domains
  • Python Installation
  • Variables
  • Operands and Expressions
  • Conditional Statements
  • Loops
  • Command Line Arguments
  • Method of Accepting User Input and eval Function
  • Python - Files Input/Output Functions
  • Lists and Related Operations
  • Tuples and Related Operations
  • Strings and Related Operations
  • Sets and Related Operations
  • Dictionaries and Related Operations
  • User-Defined Functions
  • Concept of Return Statement
  • Concept of name=" main "
  • Function Parameters
  • Different Types of Arguments
  • Global Variables
  • Global Keyword
  • Variable Scope and Returning Values
  • Lambda Functions
  • Various Built-In Functions
  • Introduction to Object-Oriented Concepts
  • Built-In Class Attributes
  • Public, Protected and Private Attributes, and Methods
  • Class Variable and Instance Variable
  • Constructor and Destructor
  • Decorator in Python
  • Core Object-Oriented Principles
  • Inheritance and Its Types
  • Method Resolution Order
  • Overloading
  • Overriding
  • Getter and Setter Methods
  • Inheritance-In-Class Case Study
  • Standard Libraries
  • Packages and Import Statements
  • Topics : Working with Modules and Handling Exceptions
  • Info@uncodemy.com | +91-9818366550 | www.uncodemy.com
  • Reload Function
  • Important Modules in Python
  • Sys Module
  • Os Module
  • Math Module
  • Date-Time Module
  • Random Module
  • JSON Module
  • Regular Expression
  • Exception Handling
  • Basics of Data Analysis
  • NumPy - Arrays
  • Operations on Arrays
  • Indexing Slicing and Iterating
  • NumPy ArrayAttributes
  • Matrix Product
  • NumPy Functions
  • Functions
  • Array Manipulation
  • File Handling Using NumPy
  • Array Creation and Logic Functions
  • File Handling Using Numpy
  • Introduction to pandas
  • Data structures in pandas
  • Series
  • Data Frames
  • Importing and Exporting Files in Python
  • Basic Functionalities of a Data Object
  • Merging of Data Objects
  • Concatenation of Data Objects
  • Types of Joins on Data Objects
  • Data Cleaning using pandas
  • Exploring Datasets
  • 2. Data Science Primer and Statistics

  • What is Data Science?
  • What does Data Science involve?
  • Era of Data Science
  • Business Intelligence vs Data Science
  • Life cycle of Data Science
  • Tools of Data Science
  • Application of Data Science
  • Introduction
  • Stages of Analytics
  • CRISP DM Data Life Cycle
  • Data Types
  • Introduction to EDA
  • First Business Moment Decision
  • Second Business Moment Decision
  • Third Business Moment Decision
  • Fourth Business Moment Decision
  • Correlation
  • What is Feature
  • Feature Engineering
  • Feature Engineering Process
  • Benefit
  • Feature Engineering Techniques
  • Basics Of Probability
  • Discrete Probability Distributions
  • Continuous Probability Distributions
  • Central Limit Theorem
  • Concepts Of Hypothesis Testing - I: Null And Alternate Hypothesis, Making
  • A Decision, And Critical Value Method
  • Concepts Of Hypothesis Testing - II: P-Value Method And Types Of Errors
  • Industry Demonstration Of Hypothesis Testing: Two-Sample Mean And
  • Proportion Test, A/B Testing
  • 3. Machine Learning

  • Simple Linear Regression
  • Simple Linear Regression In Python
  • Multiple Linear Regression
  • Multiple Linear Regression In Python
  • Industry Relevance Of Linear Regression
  • Univariate Logistic Regression
  • Multivariate Logistic Regression: Model
  • Building And Evaluation
  • Logistic Regression:
  • Industry Applications
  • Data mining classifier technique
  • Application of KNN classifier
  • Lazy learner classifier
  • Altering hyperparameter(k) for better accuracy
  • Black box
  • SVM hyperplane
  • Max margin hyperplane
  • Kernel tricks for non linear spaces
  • Rule based classification method
  • Different nodes for develop decision trees
  • Discretization
  • Entropy
  • Greedy approach
  • Information gain
  • 4. SQL

  • Introduction to Databases
  • How to create a Database instance on Cloud?
  • Provision a Cloud hosted Database instance.
  • What is SQL?
  • Thinking About Your Data
  • Relational vs. Transactional Models ER Diagram
  • CREATE Table Statement and DROP tables
  • UPDATE and DELETE Statements
  • Retrieving Data with a SELECT Statement
  • Creating Temporary Tables
  • Adding Comments to SQL
  • Basics of Filtering with SQL
  • Advanced Filtering: IN, OR, and NOT
  • Using Wildcards in SQL
  • Sorting with ORDER BY
  • Math Operations
  • Aggregate Functions
  • Grouping Data with SQL
  • Using Subqueries
  • Subquery Best Practices and Considerations
  • Joining Tables
  • Cartesian (Cross) Joins
  • Inner Joins
  • Aliases and Self Joins
  • Advanced Joins: Left, Right, and Full Outer Joins
  • Unions
  • Working with Text Strings
  • Working with Date and Time Strings
  • Date and Time Strings Examples
  • Case Statements
  • Views
  • Data Governance and Profiling
  • Using SQL for Data Science
  • How to access databases using Python?
  • Writing code using DB-API
  • Connecting to a database using DB API
  • Create Database Credentials
  • Connecting to a database instance
  • Creating tables, loading, inserting, data and querying data
  • Analysing data with Python
  • 5. Excel

  • Input data & handling large spreadsheets
  • Tricks to get your work done faster
  • Automating data analysis (Excel VLOOKUP, IF Function, ROUND and more)
  • Transforming messy data into shape
  • Cleaning, Processing and Organizing large data
  • Spreadsheet design principles
  • Drop-down lists in Excel and adding data validation to the cells.
  • Creating Charts & Interactive reports with Excel Pivot Tables, PivotCharts, Slicers and Timelines
  • Functions like: - COUNTIFS, COUNT, SUMIFS, AVERAGE and many more.
  • Excel features: - Sort, Filter, Search & Replace Go to Special etc...
  • Importing and Transforming data (with Power Query)
  • Customize the Microsoft Excel interface
  • Formatting correctly for professional reports.
  • Commenting on cells.
  • Automate data entry with Autofill and Flash-fill.
  • Writing Excel formulas & referencing to other workbooks / worksheets.
  • Printing options
  • Charts beyond column and bar charts: - Pareto chart, Histogram, Treemap, Sunburst
  • charts & more
  • Introduction to Excel for Data Analytics
  • Data Cleaning in Excel
  • Formulas and Functions
  • Lookup Functions
  • Conditional Functions
  • Sorting and Filtering
  • Pivot Tables
  • Pivot Charts
  • Data Visualization
  • Excel Dashboards
  • Advanced Excel Analytics
  • 6. Tableau

  • Introduction to Data Visualization
  • Tableau Introduction and Tableau Architecture
  • Exploring Data using Tableau
  • Working with Data using Tableau including Data Extraction and
  • Blending
  • Various Charts in Tableau(Basics to Advanced)
  • Sorting-Quick Sort, Sort from Axis, Legends, Axis, Sort by Fields
  • Filtering- Dimension Filters, Measure Filters, Date Filters, Tableau
  • Context Filters
  • Groups , Sets and Combined Sets
  • Reference Lines, Bands and Distribution
  • Parameters, Dynamic Parameters and Actions
  • Forecasting-Exponential Smoothening Techniques
  • Clustering
  • Calculated Fields in Tableau, Quick Tables
  • Tableau Mapping Features
  • Tableau Dashboards, Dashboards Action and Stories
  • Introduction to Tableau
  • Tableau Interface and Navigation
  • Connecting Data Sources
  • Data Preparation in Tableau
  • Dimensions and Measures
  • Charts and Visualizations
  • Filters and Sorting
  • Calculated Fields
  • Dashboards
  • Interactive Dashboards
  • Tableau Stories
  • Publishing and Sharing Dashboards
  • 7. Power BI

  • Introduction to Power BI – Need, Importance
  • Power BI – Advantages and Scalable Options
  • Power BI Data Source Library and DW Files
  • Business Analyst Tools, MS Cloud Tools
  • Power BI Installation
  • Power BI Desktop – Instalation, Usage
  • Sample Reports and Visualization Controls
  • Understanding Desktop & Mobile Editions
  • Report Rendering Options and End User Access
  • Report Design with Databse Tables
  • Report Visuals, Fields and UI Options
  • Reports with Multiple Pages and Advantages
  • Pages with Multiple Visualizations. Data Access
  • "GET DATA" Options and Report Fields, Filters
  • Report View Options: Full, Fit Page, Width Scale
  • Report Design using Databases & Queries
  • 8. Artificial Intelligence (AI) & Generative AI

  • What is Artificial Intelligence?
  • History and Evolution of AI
  • Types of AI: Narrow AI, General AI, Super AI
  • AI vs Machine Learning vs Deep Learning
  • Real-world Applications of AI
  • AI in Business, Healthcare, Finance, and Retail
  • Ethical Considerations in AI
  • What is Generative AI?
  • How Generative AI Works: Overview of GANs, VAEs, and Transformers
  • Popular Generative AI Models: GPT, DALL-E, Stable Diffusion
  • Prompt Engineering: Basics and Best Practices
  • Use Cases of Generative AI: Content Creation, Code Generation, Image Synthesis
  • Ethical and Bias Issues in Generative AI
  • Introduction to Generative AI and Large Language Models (LLMs)
  • Prompt Engineering fundamentals for data tasks
  • Using ChatGPT/Claude for Exploratory Data Analysis (EDA)
  • AI-assisted data cleaning and preprocessing
  • Writing and debugging SQL queries using AI tools
  • AI-assisted Python scripting for data analysis
  • Using Copilot in Microsoft Excel for automation
  • Power BI Copilot for report and dashboard generation
  • AI-generated data visualizations and insights summaries
  • Automating repetitive analytics tasks with AI
  • Ethical use of AI in data analytics (bias, accuracy, data privacy)
  • Case Study: Using AI to speed up a real-world analytics project
  • Introduction to NLP
  • Tokenization, Stemming, Lemmatization
  • Bag of Words, TF-IDF, Word Embeddings (Word2Vec, GloVe)
  • Transformers and Attention Mechanism
  • Large Language Models (LLMs): GPT, BERT, LLaMA
  • Fine-tuning LLMs for Specific Tasks
  • Building Chatbots and Conversational AI
  • Neural Networks: Perceptron, Activation Functions
  • Feedforward Neural Networks (FNN)
  • Convolutional Neural Networks (CNN) for Image Data
  • Recurrent Neural Networks (RNN) and LSTMs for Sequential Data
  • Autoencoders and Variational Autoencoders (VAEs)
  • Introduction to GANs (Generative Adversarial Networks)
  • Using TensorFlow / Keras for Deep Learning
  • Building AI Models using Python (Scikit-learn, TensorFlow, PyTorch)
  • Model Evaluation and Hyperparameter Tuning
  • Deploying AI Models using Flask / FastAPI
  • Introduction to MLOps
  • AI Model Monitoring and Maintenance
  • Using Cloud AI Services: AWS SageMaker, Azure AI, Google AI
  • Building End-to-End AI Applications
  • AI Fairness, Accountability, and Transparency
  • Bias Detection and Mitigation in AI Models
  • Explainable AI (XAI)
  • Data Privacy and Security in AI
  • Emerging Trends: Multimodal AI, Self-supervised Learning
  • AI and the Future of Work
  • Career Opportunities in AI and Gen AI
  • 9. R Programming for Data Analytics

  • Introduction to R
  • R Programming Basics
  • Variables and Data Types
  • Operators and Expressions
  • Conditional Statements
  • Loops and Functions
  • Data Structures in R
  • Vectors, Lists and Matrices
  • Data Frames and Factors
  • Data Import and Export
  • Data Manipulation using R
  • Data Cleaning using R
  • 10. Data Visualization with ggplot2

  • Introduction to Data Visualization
  • Introduction to ggplot2
  • Basic Plots using ggplot2
  • Bar Charts
  • Histograms
  • Box Plots
  • Scatter Plots
  • Line Charts
  • Customizing ggplot2 Visualizations
  • Themes, Labels and Annotations
  • Multiple Plots and Facets
  • 11. Business Intelligence with Looker

  • Introduction to Business Intelligence
  • Introduction to Looker
  • Looker Interface and Navigation
  • Connecting Data Sources
  • Data Exploration in Looker
  • Creating Reports and Dashboards
  • Filters and Dimensions
  • Measures and Visualizations
  • Creating Interactive Dashboards
  • LookML Basics
  • Sharing and Scheduling Reports
  • 12. MATLAB for Data Analysis

  • Introduction to MATLAB
  • MATLAB Environment and Interface
  • Variables and Data Types
  • Arrays and Matrices
  • Operators and Expressions
  • Conditional Statements and Loops
  • Functions in MATLAB
  • Data Import and Export
  • Data Manipulation using MATLAB
  • Data Visualization using MATLAB
  • Statistical Analysis using MATLAB
  • The curriculum maintains a careful balance between theory and application. Each module includes practical exercises that reinforce concepts and prepare learners for workplace scenarios. Students in Patna can access the full program through flexible online sessions or offline batches, making high-quality training convenient regardless of location or schedule constraints.

    Regular assessments and project milestones help track progress and ensure that every learner is ready for the next stage of skill development and eventual placement support.

    Get Your Renowned Data Analytics Certification In Patna

    Obtaining a recognized certification strengthens your professional profile and signals readiness to employers. The Data Analytics Certification from Uncodemy confirms both technical proficiency and practical project experience. It helps professionals stand out during competitive hiring processes and supports transitions into analytics-focused roles.

    Here Are The Key Perks Of Earning A Data Analytics Certification:
    • Industry-recognized credentials — valued by employers and hiring teams.
    • Clear pathway for faster career advancement — opportunities with verified competencies.
    • Focused skill development aligned with current market needs — through certification credentials.

    Certification partners include ISO, NASSCOM, and Skill India. Get certified by IBM & Microsoft through our collaborative programs.

    Tools And Technologies Covered
    • image-excelExcel
    • image-tablueTableau
    • Power-BI-SymbolPower-Bi
    • image-ggpltggplot
    • image-jupitorJupyter
    • image-numyNumpy
    • image-pythonPython
    • image-pandasPandas
    • image-lookerLooker
    • Matplotlib-logoMatplotlib
    • image-gColabGoogle Colab
    • image-sqlSQL
    • image-mysqlMySql
    • image-machineLearningML
    Proficient Data Analytics Courses In Patna

    The learning approach begins with solid fundamentals in data handling and statistical reasoning. Students then advance to storytelling with visualization platforms such as Tableau and Power BI, turning insights into clear business narratives. Later modules introduce statistical methods, machine learning techniques, and AI applications, enabling graduates to manage end-to-end analytics workflows with confidence and precision.

    How Uncodemy Helps Every Student Acing Their Interview

    Structured interview preparation enables learners to present their skills clearly and handle technical discussions with ease.

    Unveiling Uncodemy In Patna

    Instructors bring hands-on experience — from major technology and consulting organizations, keeping classroom learning closely aligned with current industry practices and expectations.

    Strategic partnerships with Fortune 500 companies — and leading employers create meaningful placement opportunities and real-world exposure during the program.

    Live online classes combined with interactive sessions — allow working professionals and students to participate without disrupting existing commitments or travel requirements.

    Flexible batch schedules — accommodate different learning paces and time zones, making quality education accessible to a wider range of learners across regions.

    In addition to data analytics, the institute offers complementary programs — in related domains that help students build broader skill sets for long-term career growth.

    A solid placement record includes opportunities with organizations such as CISCO, Adobe, McKinsey & Company, Walmart, Deloitte, IBM, Capgemini, and Morgan Stanley.

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    Deep Insight to Data Analytics Industry with Live Projects

    Dive into the data analytics industry with hands-on experience through live projects. Our course offers real-world scenarios to build practical skills, bridging the gap between theory and application. Gain valuable insights and stay ahead in the field by working directly on live datasets, preparing you for success in a dynamic industry.

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    Data Analytics Classroom Training in Patna
    Uncodemy offers Data Analytics Classroom Training in Patna, providing an immersive, hands-on learning experience. Our expert instructors guide you through core concepts such as data visualization, statistical analysis, data cleaning, and predictive modeling using tools like Python, R, SQL, Tableau, and Excel. The classroom setting allows for interactive learning, where you can participate in live discussions, solve real-world problems, and receive instant feedback. Our curriculum is designed to equip you with both the technical and analytical skills required to excel ... in the rapidly growing data analytics field. With practical projects and career support, you'll be fully prepared for success. Read more
    Data Analytics Live Session Training Course in Patna
    Uncodemy offers a Data Analyst Live Session Training Course in Patna, designed to provide hands-on learning with real-time interaction. Our live sessions ensure that you receive personalized attention and the opportunity to clarify doubts instantly, making the learning process more effective and engaging. The course covers a wide range of topics, including data visualization, statistical analysis, machine learning, and SQL, with tools like Python, R, Tableau, and Excel. With industry-focused training, live projects, and expert guidance, you'll develop ... practical skills that will prepare you for a successful career in data analytics. Join today to gain comprehensive, real-world expertise! Read more
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    Live Project Work on Data Analytics Training with Uncodemy
    Embark on a transformative journey with Uncodemy's Data Analytics Training, where you will gain hands-on experience through live projects. Our courses are designed to equip you with essential skills in areas like Data Science, Python, and Java, paving the way for a successful career in the IT sector.
    We offer Data Analytics classes in multiple cities, including Noida, Delhi, Gurgaon, Greater Noida, Ghaziabad, Faridabad, Lucknow, Indore, Bhopal, Ahmedabad, Allahabad, Bangalore, Bhubaneswar, Chandigarh, Chennai, Gorakhpur, and many more. ...
    At Uncodemy, we focus on practical learning, ensuring that you not only understand the theory but can also apply it in real-world scenarios. Join us and unlock the potential to become a proficient data analyst with a course tailored to your needs and career goals. Your future in technology starts here!
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    Data Analytics Course in Patna with Placement
    Looking to kickstart your career in the IT sector? Join our Data Analytics Course in Patna, offered by Uncodemy. Our program covers essential areas, including Data Science, Python, Java, Full Stack Development, and Software Testing, ensuring you gain comprehensive skills for today's job market.
    At Uncodemy, we pride ourselves on providing high-quality training that prepares you for real-world challenges. Our Data Analytics classes are designed to be engaging and informative, making complex concepts easy to grasp. We offer both offline and online training options, with classes available in several cities, including Noida, Delhi, ... Gurgaon, Greater Noida, Ghaziabad, Faridabad, Lucknow, Indore, Bhopal, Ahmedabad, Allahabad, Bangalore, Bhubaneswar, Chandigarh, Chennai, Gorakhpur, and more.
    Plus, our Data Analytics Course in Patna comes with placement assistance, helping you land your dream job in this growing field. Don't miss out—enroll today!
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    Data Analytics Interview Preparation
    Preparing for a data analytics interview can be daunting, but with the right guidance, you can excel. At Uncodemy, we offer comprehensive courses that cover essential areas, including Data Analytics, Data Science, Python, and more, designed to help you launch your career in the IT sector.
    Our classes are available in various cities, such as Noida, Delhi, Gurgaon, and many others, ensuring accessibility for everyone. Whether you're interested in offline training or prefer an online format, we cater ... to your needs. Our experienced instructors provide in-depth insights and practical skills, preparing you not just for interviews but also for real-world applications.
    With our Data Analytics courses, you'll learn valuable skills that employers seek, helping you stand out in the competitive job market. Join us at Uncodemy, and take the first step towards a successful career in data analytics!
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    Data Analytics Internship in Patna
    Are you looking to kickstart your career in data analytics? Join the Data Analytics Internship in Patna with Uncodemy! Our comprehensive courses cover key areas like Data Analytics, Data Science, Python, and Java, ensuring you gain the skills necessary to thrive in the IT sector.
    At Uncodemy, we believe in practical learning, offering offline Data Analytics classes that help you master essential concepts. With training available in various cities including Noida, Delhi, and Bangalore, we aim to make quality education accessible.
    Our Data Analytics Training Institute in Patna is recognized for its effective curriculum and experienced instructors. ... Not only do we provide the best Data Analyst course with placement support, but we also focus on preparing you for real-world challenges.
    Embark on your journey to becoming a skilled data analyst today, and unlock countless opportunities in the tech industry! Join us at Uncodemy, where your future in data awaits!
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    Upcoming batches fill quickly as more professionals recognize the value of structured data analytics training. Secure your place today and take the first step toward a future-ready career backed by strong placement support and industry-aligned skills.

    Get Industry Expert Trainers for Data Analytics Training in Patna

    Learning from professionals who have worked inside real corporate environments makes a clear difference. Uncodemy's trainers bring practical insights from roles at leading organizations and convert complex ideas into clear, usable knowledge. Their experience covers data science, machine learning, visualization platforms, and cloud-based analytics, enabling them to guide students through both foundational topics and advanced applications.
    Students benefit from mentors who understand hiring expectations and everyday workplace challenges. This real-world viewpoint helps learners prepare not only for technical interviews but also for day-to-day responsibilities in analytics roles. Regular interaction during live sessions, project reviews, and doubt-clearing opportunities creates a supportive learning atmosphere. ...

    Key advantages of learning under industry experts include:

    • Direct exposure to current tools and best practices
    • Guidance on handling real business data scenarios
    • Insights into career paths and role expectations
    • Personalized feedback on projects and assignments
    • Understanding of industry standards and workflows
    • Motivation through shared professional journeys
    • Clarity on emerging trends such as generative AI
    • Practical tips for building a strong portfolio
    • Confidence-building through continuous interaction
    This mentor-driven approach ensures every learner advances with both technical competence and professional awareness.
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    What Else Does Uncodemy Focus On With Data Analytics Training Along With Placement Guarantee

    Beyond core data analytics instruction, Uncodemy emphasizes a holistic development model. The institute recognizes that technical skills alone are not enough for sustained career growth. Soft skills, communication abilities, professional etiquette, and continuous learning habits receive equal attention throughout the program.
    Learners gain access to related courses that complement analytics expertise, including data science, full-stack development, software testing, and digital marketing. This broader ecosystem allows students to explore adjacent domains and build versatile profiles. The learning environment encourages collaboration, peer interaction, and regular feedback, fostering a community of motivated professionals.
    Placement support remains a central pillar. Dedicated teams work with learners on resume refinement, interview preparation, and connecting them with hiring partners. Flexible learning modes—online and offline—ensure accessibility for working professionals and full-time students alike. Continuous updates to the curriculum keep content aligned with evolving industry requirements, while mentorship and Q&A support help resolve challenges promptly.
    The overall experience is designed to transform beginners into confident practitioners ready to contribute from day one in analytics roles. ... Read more

    Why Pick Uncodemy For Data Analytics Training Course in Patna

    Choosing Uncodemy means selecting a program built around three core pillars: expert guidance, practical application, and measurable career outcomes. Instructors with substantial industry backgrounds deliver content that reflects real workplace demands. Live projects and tool-based exercises ensure that theoretical knowledge is immediately applied and reinforced.
    Certification pathways through recognized partners add formal validation to the skills acquired. Placement assistance, including interview preparation and employer connections, helps bridge the gap between training and employment. Flexible scheduling options accommodate diverse learner needs, whether participants are students, working professionals, or career switchers.
    The combination of structured curriculum, hands-on projects, recognized credentials, and dedicated placement support creates a complete pathway from skill acquisition to career launch. Learners in Patna benefit from an institute that prioritizes outcomes and maintains consistent quality across every batch. ... Read more

    Data Analytics Trends In Patna

    The field of data analytics continues to evolve quickly as organizations seek deeper insights from expanding volumes of information. Training programs that remain current with these shifts prepare learners for the roles employers actively fill.
    Current trends shaping effective data analytics training include: ...
    • Emphasis on real-time and big data processing techniques — to handle streaming and large-scale datasets.
    • Integration of artificial intelligence and machine learning methods — for predictive and prescriptive analytics.
    • Advanced visualization and storytelling capabilities — to communicate insights effectively.
    • Growing adoption of cloud-based analytics platforms — for scalability and accessibility.
    • Industry-specific applications and domain knowledge — to solve sector-specific challenges.
    • Strong focus on project-based and practical learning — to build portfolios and confidence.
    • Programs that combine certification with placement support — for measurable career outcomes.
    These developments underline the importance of choosing a training provider that regularly updates its content and balances technical depth with practical application.
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    Salary Packages For Data Analyst In Patna

    The salary for Data Analysts in Patna can vary depending on factors like experience, skill level, education, and the specific company or industry. However, as a growing tech hub with a strong demand for skilled professionals, data analytics roles in Patna offer competitive salary packages. Here's a general overview: ...
    • Entry-Level Data Analyst (0-2 years of experience): For fresh graduates or those with limited experience, the salary typically ranges between ₹3.5 to ₹5 lakh per annum. Entry-level data analysts who possess skills in tools like Excel, SQL, and basic Python or R can expect to earn within this range.
    • Mid-Level Data Analyst (3-5 years of experience): For analysts with 3 to 5 years of experience, the salary increases to about ₹6 to ₹8 lakh per annum. At this level, professionals are expected to have a good grasp of data analysis, statistical modeling, data visualization (using tools like Tableau or Power BI), and experience working with databases.
    • Senior Data Analyst (5+ years of experience): Senior data analysts with over 5 years of experience and expertise in advanced data analytics techniques (machine learning, big data analytics) and proficiency in tools like Python, R, SQL, and cloud technologies can earn between ₹10 to ₹15 lakh per annum. Professionals with specialized skills or experience in high-demand industries like finance, healthcare, or e-commerce may command higher salaries.
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    Data Analytics Fees And Course Duration

    The fees and course duration for Data Analytics programs can vary significantly depending on the institution and the course structure. ...

    Fees:

    • Short-term Courses: These typically range from ₹15,000 to ₹30,000, focusing on specific tools or techniques within data analytics.
    • Diploma Courses: Fees for diploma programs can range from ₹30,000 to ₹60,000, covering a broader curriculum over several months.
    • Comprehensive Training Programs: Full-fledged Data Analytics courses offered by institutes like Uncodemy may range from ₹60,000 to ₹1,20,000, often including hands-on projects and placement assistance.
    Course Duration:
    • Short-term Workshops: These usually last 1 to 3 months, ideal for individuals looking to enhance specific skills.
    • Diploma Programs: Typically span 6 months to 1 year, providing a more in-depth understanding of data analytics concepts and tools.
    • Comprehensive Courses: These can last anywhere from 3 to 6 months, with sessions conducted weekly, including practical projects and assessments.
    It's advisable to check with specific institutions for detailed fee structures and course durations, as they can vary based on curriculum changes and additional features offered.
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    Scholarship And Certifications In Data Analytics Training Under Uncodemy

    Uncodemy provides scholarship opportunities to meritorious and deserving candidates, making quality training more accessible. Eligible learners can benefit from reduced fees while still receiving the full curriculum, mentoring, and placement support.
    Certification remains a core component of the program. Partnerships with ISO, NASSCOM, Skill India, IBM, and Microsoft ensure that credentials carry industry recognition. These certifications validate the skills acquired and strengthen profiles when applying for roles. The combination of scholarship support and reputable credentials helps motivated learners overcome financial barriers while building credentials that employers respect. ... Read more

    Jobs And Vaccancies For Data Analyst

    Completing a well-structured Data Analytics Course in Patna opens doors to multiple high-demand roles across industries. Organizations of every size need professionals who can turn data into strategic advantages.
    Common career opportunities include: ...
    • Data Analyst: Entry to mid-level positions focused on data cleaning, analysis, and reporting using tools like Excel, SQL, and Python.
    • Business Intelligence Analyst: Specialized in creating dashboards, reports, and visualizations using BI tools like Tableau, Power BI, and Qlik.
    • Financial Analyst: Focuses on analyzing financial data to support decision-making in finance, banking, and fintech sectors.
    • Marketing Analyst: Analyzes marketing data, tracks campaigns, and helps optimize customer acquisition strategies.
    • Operations Analyst: Works on operational data to enhance efficiency, streamline processes, and improve supply chain management.
    These positions exist in technology, consulting, finance, retail, healthcare, and many other sectors, offering both stability and growth potential for skilled professionals.
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    Work On Live Projects In Data Analytics With Uncodemy

    Practical experience sits at the center of the learning journey. Students work on carefully chosen live projects that mirror real business challenges and reinforce classroom concepts.

    Key projects include:
    Netflix Movies & TV Shows Clustering using Pandas, Matplotlib, Seaborn, Numpy, and ML techniques
    Company Bankruptcy Prediction applying the same core skill set
    Coronavirus Tweet Sentiment Analysis for text and sentiment insights
    Retail Sales Prediction System — Rossmann utilizing Logistic Regression, Random Forest, XGBoost, and SVC
    Credit Card Default Prediction to practice classification and risk modeling

    These projects help learners build a tangible portfolio, apply multiple tools in integrated workflows, and gain confidence discussing real outcomes during interviews. Completing them under mentor guidance prepares students for the practical demands of analytics roles. Enroll today to begin working on industry-relevant projects and accelerate your path toward a data-focused career. ... Read more
    Frequently Asked Questions

    Uncodemy is widely regarded as a strong choice for Data Analytics Course in Patna because of its industry-aligned curriculum, experienced mentors, and consistent placement support. The program combines practical projects with recognized certifications, helping learners build both skills and career readiness.

    Data Analytics course fees in Patna typically range from ₹20,000 to ₹1,00,000, depending on the course duration and certification level. Short-term courses (3-6 months) cost around ₹20,000–₹50,000, while advanced diploma or PG programs may range from ₹50,000 to ₹3,00,000. Fees vary by institution.

    Eligibility for a Data Analyst course typically includes a bachelor's degree in fields like mathematics, statistics, or computer science. Basic analytical skills, familiarity with tools like Excel or Python, and a strong interest in data are essential. Many programs welcome beginners, with no prior experience required.

    Yes, you can become a Data Analyst in 3 months with dedicated effort and the right training. Enroll in an intensive course that covers key topics like data visualization, statistical analysis, and tools such as Excel, Python, or Tableau. Focus on hands-on projects to build practical skills, and start networking early to explore job opportunities. Continuous learning will be essential for long-term success.

    The average salary of a Data Analyst in Patna ranges between ₹3,00,000 and ₹6,00,000 per year, depending on experience, skills, and the hiring company. Entry-level analysts can expect around ₹3,00,000 annually, while mid-level professionals earn ₹4,00,000 to ₹6,00,000. Senior data analysts with extensive experience or specialization may earn upwards of ₹8,00,000 per year. Salaries also vary based on the industry and company size.

    Yes, data analysts have a promising future as the demand for data-driven insights continues to grow across various industries. Organizations increasingly rely on data to inform decision-making, optimize operations, and enhance customer experiences. With advancements in technology, such as AI and machine learning, data analytics roles are evolving, offering opportunities for specialization and career advancement. As businesses prioritize data literacy, skilled data analysts will remain vital for success in the modern economy.

    The syllabus for a Data Analytics course typically includes key topics such as:

    • Introduction to Data Analytics
    • Data Visualization Techniques (using tools like Tableau)
    • Statistical Analysis (descriptive and inferential statistics)
    • Data Cleaning and Preparation
    • Introduction to Python/R for Data Analysis
    • Machine Learning Basics
    • Hands-On Projects and Case Studies

    This comprehensive curriculum equips students with essential skills for a successful career in data analytics.

    Yes, the Data Analytics course is expected to be in high demand in 2026. As businesses increasingly rely on data-driven decision-making, the need for skilled data analysts continues to grow across various sectors, including finance, healthcare, marketing, and technology. The rise of big data, artificial intelligence, and machine learning further fuels this demand, creating opportunities for professionals who can interpret and analyze complex datasets. Additionally, organizations are prioritizing data literacy, making data analytics skills essential for career advancement.

    Yes, the Data Analytics course is in high demand. As organizations increasingly rely on data to drive decision-making and improve operational efficiency, the need for skilled data analysts continues to grow across various industries. Fields such as finance, healthcare, marketing, and technology are particularly keen on hiring professionals who can interpret and analyze complex datasets. Moreover, with advancements in big data, artificial intelligence, and machine learning, data analytics skills are becoming essential for many roles, making this field a promising career choice.

    Yes, Uncodemy offers placement assistance as part of its Data Analytics course. The institute provides comprehensive support to help students prepare for the job market, including resume workshops, mock interviews, and personalized career counseling. Additionally, Uncodemy has connections with various companies, facilitating job placements and internship opportunities for graduates, ensuring they are well-equipped to secure positions in the data analytics field.

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