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Unleash Your Potential with Our Best Data science Course In Patna

Unlock your potential with Uncodemy's Best Data Science Course in Patna! Our Data Science Institute in Patnaoffers comprehensive Data Scientist Courses, including an Offline Data Science Course with flexible Data Science Course Fees. Get hands-on experience through advanced training, a well-structured curriculum, and guaranteed placements. Join the Best Data Science Classes and enjoy the benefits of the Data Science Course in Patna with placement opportunities. Enroll today and excel with the Best Institute for Data Science Training in Patna!

Why choose a Data Science course?What Will You Get?

Are you looking for a career in data science but unsure where to begin? Uncodemy’s Data Science Course in Patna is the perfect gateway to the world of data analytics and machine learning. With businesses increasingly relying on data to drive decisions, learning data science opens up vast opportunities.

What Will You Get? Our Data Science Training in Patna equips you with practical skills, making you industry-ready. Whether you're looking for an offline Data Science course in Patna or prefer structured learning at the best Data Science institute in Patna, Uncodemy has options to suit your preferences.

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Key Benefits of Learning Data Science:

  • High demand in industries
  • Lucrative salaries
  • Opportunities across various sectors
  • Hands-on project experience
  • Gain expertise in Python, R, SQL, etc.
  • Develop critical problem-solving skills
  • Strong foundation in statistics and algorithms
  • Access to top job roles like Data Scientist, Analyst
  • Practical exposure through real-world datasets
  • Opportunity to work with cutting-edge technologies
  • Enhance decision-making skills
  • Opportunity to contribute to business growth
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  • Networking opportunities with professionals
  • Customizable Data Science Course duration in Patna
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From beginner to advanced levels, our Advanced Data Scientist Training in Patna covers a comprehensive Data Science Course Curriculum. Uncodemy's Data Science Training Institute in Patna ensures the most affordable Data Science Course fee in Patna while offering unmatched learning experiences.

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Looking for the best Data Science course in Patna? Uncodemy is your go-to Data Science institute in Patna, offering comprehensive, hands-on learning. Here’s why you should choose Uncodemy’s Data Science course in Patna:

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Key Reasons to Join Uncodemy

If you're looking to start a Data Science course in Patna, Uncodemy is the perfect choice. It's known as the best Data Science institute in Patna, offering both online and offline Data Science courses. The Data Science course fee in Patna is affordable, and Uncodemy provides top-notch Data Science training with practical experience.

Here are the reasons why Uncodemy stands out:

Best Data Science course in Patna with placement.
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Experienced faculty.
Comprehensive Data Science course curriculum.
Hands-on learning.
Real-time projects.
Flexible learning hours.
Interactive Data Science classes.
Industry-relevant content.
Advanced Data Scientist training.
Data Science course duration tailored to your needs.
Job-oriented approach.
Expert mentorship.
Data Science course benefits in Patna include personalized attention.
Proven placement record.

Engaging Data Science Classes in Patna

Looking for engaging Data Science classes in Patna? Uncodemy is the best institute for Data Science courses in Patna, offering hands-on learning and expert guidance. Their Data Scientist Course in Patna is designed to cater to both beginners and professionals, with a comprehensive curriculum tailored for success. You can opt for offline Data Science training in Patna, providing real-time learning experience in a classroom setting.

Here are the top benefits of choosing Uncodemy:

  • Affordable Data Science Course fee in Patna
  • Experienced mentors
  • Comprehensive Data Science Course curriculum in Patna
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  • Placement assistance with top companies
  • In-depth advanced Data Scientist training in Patna

With Uncodemy, you’re assured of the best Data Science course in Patna with placement opportunities to kick-start your career.

Curriculums for Data Science Training Course in Patna

Data Science Curriculum

The curriculum has been designed by faculty from IITs, and Expert Industry Professionals.

time
150+

Hours of Content

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90+

Live Sessions

tools
15+

Tools and Software

Set the Basics Right

Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. For example, finance companies can use a customer's banking and bill-paying history to assess creditworthiness and loan risk.

Data science course provider of Patna called Uncodemy offers a curriculum that contains following courses to strengthen your skill in Data Science-

1. Python for Data Science

  • 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 | +91-7701928515 | 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
  • Challenges with standalone model
  • Reliability and performance of a standalone model
  • Homogeneous & Heterogeneous Ensemble Technique
  • Bagging & Boosting
  • Random forest
  • Stacking
  • Voting & Averaging technique
  • Difference between cross sectional and time series data
  • Different component of time series data
  • Visualization techniques for time series data
  • Model based approach
  • Data driven based approach
  • Difference between Supervised and Unsupervised Learning
  • Prelims of clustering
  • Measuring distance between record and groups
  • Linkage functions
  • Dendrogram
  • Dimension reduction
  • Application of PCA
  • PCA & its working
  • SVD & its working
  • Point of Sale
  • Application of Association rules
  • Measure of association rules
  • Drawback of measure of association rules
  • Condition probability
  • Lift ratio

    • 4. Deep Learning

  • Black box techniques
  • Intution of neural networks
  • Perceptron algorithm
  • Calculation of new weights
  • Non linear boundaries in MLP
  • Integration function
  • Activation function
  • Error surface
  • Gradient descent algo
  • Imagenet classification challenges
  • Convolution network applications
  • Challenges in classifying the images using MLP
  • Parameter explosion
  • Pooling layers
  • Fully connected layers
  • Alexnet case study
  • Modelling sequence data
  • Vanishing/Gradient descent explode
  • What is a Deep Learning Platform?
  • H2O.ai
  • Dato GraphLab
  • What is a Deep Learning Library?
  • Theano
  • Deeplearning4j
  • Torch
  • Caffe

    • 5. Data Visualization and Story Telling

  • Bar Charts
  • Histograms
  • Pie Charts
  • Box Plots
  • Scatter Plots
  • Line Plots and Regression
  • Pair plot
  • Word Clouds
  • Radar Charts
  • Waffle Charts

    • 6. Natural Language Processing

  • Text data generating sources
  • How to give structure to text structure using bag of words
  • Terminology used in text data analysis
  • DTM & TDM
  • TFIDF & its usage
  • Word cloud and its interpretation

    • 7. 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

    • 8. 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

    • 9. 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

    • 10. Power BI

  • Introduction to Power BI – Need, Imprtance
  • 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

    • Our Programs

    Get Renowned Data science Certification in Patna

    Looking to build a successful career in Data Science? Get renowned Data Science Certification in Patna from Uncodemy, a leading institute providing comprehensive training in the field of data science.

    Our Data Science Course in Patna is designed for both beginners and professionals, offering a blend of theoretical knowledge and practical experience. As one of the Best Data Science institutes in Patna, Uncodemy ensures that students gain in-depth skills through hands-on projects and real-world applications. The Data Scientist Course in Patnaincludes topics such as machine learning, statistics, and data visualization, with access to both offline Data Science Course in Patna and online options to suit your needs.

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    Uncodemy provides Data Science Certification Course in Patna, in association with ISO, NASSCOM, and Skill India.

    Tools and Technologies covered
    • imageexcelExcel
    • imagetablueTableau
    • Power-BI-SymbolPower-Bi
    • imageggplotggplot
    • imagejupitorJupyter
    • imagenumpyNumpy
    • imagepythonPython
    • imagepandasPandas
    • imageseabornSeaborn
    • imagelockerLooker
    • Matplotlib-logoMatplotlib
    • imagepycharmPyCharm
    • imagegoogleColabGoogle Colab
    • imageanacondaAnaconda
    • imagenltkNLTK
    • imagescikitlernScikit-learn
    • imagesqlSQL
    • imageMySqlMySql
    • imagepostgersqlPostgreSQL
    • imagemlML
    • imagedeeplDeep Learning
    • imagenlpNLP

    Proficient in Data science Courses In Patna

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    Join Uncodemy

    Uncodemy is a premier training institute dedicated to empowering individuals with the skills needed for a successful career in technology. Located in Patna, we offer a wide range of specialized courses, including Full Stack Development, Software Testing, Data Science,Data Analytics and more.

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    iNTERVIEWS
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    What's Included in our Program
    Training with Industry Expert Trainer
    Live Projects ( Multiple Domain)
    Resume Building & Grooming Session
    Interview & Mock Interview Session
    3-6 Months Internship Certificate
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    What Else Does Uncodemy Focus On With Data science Training Along With Placement Guarantee

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