Excel
Tableau
Power-Bi
ggplot
Jupyter
Numpy
Python
Pandas
Looker
Matplotlib
Google Colab
SQL
MySql
ML
Expertise : Data Science, Data Analytics,Machine Learning, Deep Learning, AutoML, ML on Cloud, NLP
Top-Rated Data Analytics PG Program
Achieve Expertise with the Post Graduate Program in Data Analytics at Uncodemy
4.71 ( 10718 Learner Ratings )
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4.71
Learn more about the course
- Program Overview
- Success Stories
- Curriculum
- Tools
- Projects
- Certificate
- Instructors
- Career Support
- Fees
- FAQs
Why Choose Uncodemy's Data Analytics PG Program
If you're looking for the best PG diploma in Data Analytics course in Delhi, Uncodemy is your go-to destination! Designed for both beginners and professionals, our program blends expert guidance, real-world exposure, and career-driven training to ensure you succeed in the data analytics field.
- Comprehensive Curriculum for Industry Success:Our PG diploma in Data Analytics course curriculum in Delhi is carefully structured to match industry demands. You'll gain expertise in data visualization, predictive modeling, SQL, Python, and advanced analytics techniques.
- Learn from Industry Experts:With mentors from top-tier companies, Uncodemy ensures you get practical, real-world insights. Our PG diploma in Data Analytics training course in Delhi focuses on hands-on learning through live projects and case studies.
- Real-World Projects and Case Studies:The best PG diploma in Data Analytics institute in Delhi should prepare you for real challenges. Our curriculum integrates live projects and case studies, ensuring practical exposure that enhances your problem-solving skills.
- Guaranteed Placement Assistance:Worried about job opportunities? Enroll in the best PG diploma in Data Analytics course in Delhi with placement and get placement support with top MNCs and startups.
- Flexible Learning & State-of-the-Art Infrastructure:Choose between offline PG diploma in Data Analytics courses in Delhi or online learning—whichever suits your schedule. Our modern infrastructure ensures a seamless learning experience.
- Post-Completion Support & Affordable Excellence:Even after course completion, Uncodemy offers career guidance and interview prep. Plus, our PG diploma in Data Analytics course fee in Delhi is designed to be budget-friendly.
- Tailored for Beginners and Professionals:Whether a fresh graduate or a seasoned professional, our program caters to learners from all backgrounds.
- Join the Uncodemy Family:Be part of a vibrant community of learners, innovators, and achievers shaping the future of technology and business.
Curriculum with cutting edge tools and skills
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Interactive mentor-led sessions
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Personalized projects as per your industry
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Learn from top Uncodemy faculty
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40+ Case Studies
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24*7 Dedicated Program Support
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Ranked no. 3
in MS in Business Analytics
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Ranked no. 6
in Executive education custom programs
Skills you will learn
- Python Foundations
- Data Visualization
- Business Statistics
- GenAi & Applications
- Ensemble Techniques
- Supervised Learning
- Unsupervised Learning
- Forecasting methods
- Exploratory Data Analysis
- Inferential Statistics
- Linear Regression
- Classification Models
- Model tuning
Our alumni work at top companies
About this Data Analytics Training Program
Uncodemy’s PG Diploma in Data Analytics Course in Delhi is designed for aspiring data professionals looking for hands-on learning and career growth. This best PG Diploma in Data Analytics Training Course in Delhi ensures students gain practical skills through:
- Weekly interactive mentor-led sessions for in-depth learning
- Dedicated program support through an expert program manager
- Networking opportunities to connect with peers and industry experts
- An E-portfolio to showcase your projects and skills
- Industry-recognized certification from Uncodemy to boost your career prospects
Read more
Elevate Your Skills with On-Campus Immersion (Optional Add-on)
Enhance Your Expertise with AI & Deep Learning (Optional Add-on)
AI With Deep Learning
Dive deeper into the world of Artificial Intelligence and unlock advanced skills in deep learning.
-
Neural Networks
Understand neural networks.
-
Computer Vision
Master CNNs for image classification.
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Natural Language Processing
Learn NLP and transformers.
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Certificate of Completion
Earn PGP-AIML and PGP-DSBA certificates.
Uncodemy's Data Analytics PG Program Reviews
Uncodemy offers the Best PG Diploma in Data Analytics Course in Delhi with offline training, expert faculty, placement support, and affordable fees.
-
Aditya Singh
Senior Solutions Consultant, Cognizant
Enrolling in this program helped me in securing a remote position at Microsoft. The program's effective training empowered me to confidently secure a job that exceeded expectations, showcasing my abilities and enabling a successful transition. Equipped with technical skills and a problem-solving mindset, the program continues to contribute to my career success in my subsequent job roles.
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Abhilasha Rathi
Data Science & Advanced Analytics, Infosys
Joining the program two months into my role as Director of Data Science & Advanced Analytics, I swiftly adapted to the transformative curriculum. The experience enhanced my skills, elevating marketability and confidence. Leading data science expansion, I collaborate with IT to create predictive models and reports, applying program-acquired knowledge daily to illuminate crucial business operations.
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Vishal Singh
Director of Insights and Visualizations, HCL
I joined the program to boost my data science skills post a role in performance analytics. Diving into diverse projects, I honed expertise in business statistics and Python, shifting to Power BI for reporting. This journey, coupled with a Microsoft data analyst certificate, secured my promotion to Director of Insight and Visualizations.
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Tanvi
Data Science Consultant , Deloitte
In my pursuit of a career pivot and a deeper understanding of Data Science in Business Analytics, I enrolled in the program to supplement my on-the-job knowledge. Dissatisfied with introductory Python classes on various online portals, this program's immersive experience proved crucial for hands-on learning, playing a pivotal role in helping me complete my higher education.
Curriculums for Data Analytics Training Courses in Delhi
Data Analytics Curriculum
The curriculum has been designed by faculty from IITs, and Expert Industry Professionals.
120+
Hours of Content
75+
Live Sessions
10+
Tools and Software
Set the Basics Right
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
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
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
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
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
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
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
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
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
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
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
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
At Uncodemy, we offer a comprehensive Data Analytics training course in Delhi designed to equip students with the skills and knowledge required to excel in the field of data analysis. Our curriculum is meticulously crafted to cover all essential aspects of data analytics, ensuring that our students gain a deep understanding and practical experience.
Here’s a detailed overview of what you can expect from our Data Analytics course curriculum:
1. Python for Data Analytics
2. Data Science Primer and Statistics
3. Machine Learning
4. SQL
5. Excel
6. Tableau
7. Power BI
8. Artificial Intelligence (AI) & Generative AI
9. R Programming for Data Analytics
10. Data Visualization with ggplot2
11. Business Intelligence with Looker
12. MATLAB for Data Analysis
Uncodemy's Data Analytics training course in Delhi not only covers these fundamental topics but also includes hands-on experience with real-world data, ensuring that students are well-prepared for the demands of the industry. Our curriculum is designed to provide a balanced mix of theoretical knowledge and practical skills, making it one of the best data analytics courses available.
By choosing Uncodemy, you are opting for a program that is tailored to meet the needs of aspiring data analysts, offering a robust education in a field that is both dynamic and in high demand. Whether you are looking for offline or online data analytics courses in Delhi, our training programs are structured to provide the best learning experience possible.
Become a data scientist
Tools and technologies
Dive into Unodemy's top-rated Data Science course & master essential skills for a data-driven future.
![image-excel]()
Excel![image-tablue]()
Tableau![Power-BI-Symbol]()
Power-Bi![image-ggplt]()
ggplot![image-jupitor]()
JupyterNumpy
![image-python]()
Python![image-pandas]()
Pandas![image-looker]()
Looker![Matplotlib-logo]()
Matplotlib![image-gColab]()
Google Colab![image-sql]()
SQL
![image-mysql]()
MySql![image-machineLearning]()
ML
Real-World Industry Projects
Transform Your Skills with Practical Learning
Engage with projects designed to mimic real-world challenges, enhancing your problem-solving skills and equipping you with industry-relevant expertise.
Python Foundations
Advanced Data Analysis for Food Delivery Platforms
- Analyzing large-scale food delivery data to
uncover trends.
- Identifying customer preferences, peak order times, and delivery delays.
- Extracting actionable insights to streamline operations and boost efficiency.
- Developing data-driven strategies to enhance customer satisfaction and retention.
- Identifying customer preferences, peak order times, and delivery delays.
- Extracting actionable insights to streamline operations and boost efficiency.
- Developing data-driven strategies to enhance customer satisfaction and retention.
Business Statistics
A/B Testing for Optimized User Engagement
- Test two versions of a news portal landing
page.
- Track user engagement through clicks, session duration, and interactions.
- Identify the design that maximizes user involvement.
- Use data-driven insights to enhance website performance.
- Track user engagement through clicks, session duration, and interactions.
- Identify the design that maximizes user involvement.
- Use data-driven insights to enhance website performance.
Supervised Learning
Building a Dynamic Pricing Model for Devices
- Use regression models to build smart pricing
algorithms.
- Analyze brand, device condition, and market trends for optimal pricing.
- Predict the best selling price for refurbished electronics.
- Ensure maximum profitability while staying competitive.
- Analyze brand, device condition, and market trends for optimal pricing.
- Predict the best selling price for refurbished electronics.
- Ensure maximum profitability while staying competitive.
Classification Models
Hotel Booking Cancellation Prediction
- Build classification models to analyze
cancellations.
- Study booking trends, room choices, and payment preferences.
- Help hotels reduce risks and enhance customer experience.
- Improve operational efficiency through predictive insights.
- Study booking trends, room choices, and payment preferences.
- Help hotels reduce risks and enhance customer experience.
- Improve operational efficiency through predictive insights.
Ensemble Learning
Visa Approval Prediction Using ML
- Learn how multiple ML models work together for
accurate predictions.
- Identify key factors affecting visa approval or rejection.
- Use predictive analytics to streamline decision-making.
- Get insights to optimize the application review process efficiently.
- Identify key factors affecting visa approval or rejection.
- Use predictive analytics to streamline decision-making.
- Get insights to optimize the application review process efficiently.
Unsupervised Learning
Stock Clustering for Diversified Portfolios
- Clustering algorithms analyze stock data to
identify patterns.
- Stocks are grouped based on financial attributes like volatility and returns.
- This helps in building diversified portfolios, reducing risks, and maximizing profits.
- Learn to apply unsupervised learning in real-world financial scenarios.
- Stocks are grouped based on financial attributes like volatility and returns.
- This helps in building diversified portfolios, reducing risks, and maximizing profits.
- Learn to apply unsupervised learning in real-world financial scenarios.
Upskill from uncodemy
Get renowned Data Science PG Program Certificate
Earn 9.0 Continuing Education Units (CEUs) on successful completion of the program
.png "Data Science Certificate")
* Image for illustration only. Certificate subject to change.
-
MS - Business Analytics
QS World University rankings, 2026
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Executive Education
Custom Programs by Financial Times, 2026
For any feedback & queries regarding the program, please reach out to us at info@uncodemy.com
Instructors
At Uncodemy, our expert instructors are the backbone of our PG Diploma in Data Analytics Course in Delhi. With years of industry experience, they offer hands-on training, ensuring students grasp real-world concepts. Our PG Diploma in Data Analytics Institute in Delhi provides both offline PG Diploma in Data Analytics Courses in Delhi and online options, making learning flexible. We focus on practical exposure, affordable PG Diploma in Data Analytics Course Fees in Delhi, and job-ready skills. From PG Diploma in Data Analytics Classes in Delhi to placement assistance, our trainers guide you through an Advanced PG Diploma in Data Analytics Training in Delhi for a successful career.
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Mr.Upendra Kumar Tiwari
Ex-Employee: Walmart | Ericsson | Cognizant -
Irshad Khan
Ex-Employee: KPMG | Global logic | Ministry of health and welfare9+ years of relevant work experience
Read MoreExpertise : Python, SQl, Machine learning,Tabluea, Artificial intelligence, Deep learning, Power BI, Mloops
-
Syed Najeeb
Ex-Employee: Air India | ISAP India | Ramtech Software Solutions7+ years of relevant work experience
Read MoreExpertise : Python, ML, DL, NLP, Power BI,Tableau, SPSS, SAS, MS-Excel, SQL, HTML, CSS.
-
Kunal Arora
Ex-Employee: Noidavery | Keventers | Red & Wine9 years of relevant work experience
Read MoreExpertise : Python, SQL, Excel, Power BI, Tableau, ML, DL, NLP, Time Series, IOT Devices, Prompt Engineering, Chatbot
-
Pradyumn Singh
Head of Training & Placement15+ years of relevant work experience
Read MorePradyumn Singh, the Head of Training & Placement at Uncodemy. With 15+ years of expertise, he has led Software Testing, Development, and Digital Marketing teams.
-
Priyanka
Head of the HR & Placement10+ years of relevant work experience
Read MorePriyanka, the Head of the HR & Placement Department at Uncodemy. With a decade of experience, she has skillfully led the HR team, overseeing training and recruitment.
Acing The Interviews
-
Career Guidance & Sessions
Master industry trends and career paths with insights from professionals.
-
Mock Interviews & Preparation
Sharpen your skills with real-world interview scenarios and expert feedback.
-
Resume & LinkedIn Optimization
Craft a standout resume and LinkedIn profile to impress recruiters.
-
E-Portfolio Development
Showcase your expertise with a digital portfolio that highlights your skills.
Program Fee
Starting at 5,999 INR/month
Program Fee: 40,000 INR + GST
Pay in Installments
RecommendedAs low as 5000/month
for 12 months
View EMI Plans
Upfront Payment & Referral
Upfront Discount:
40,000 INR
34,999 INR
Referral Discount:
40,000 INR
29,999 INR
Benefits of learning with us
- High-quality content
- 7 hands-on projects
- Live mentored learning in micro classes
- Doubt solving by industry experts
- Flexible learning approach
- Career support services
Application process
Our admissions close once the requisite number of participants enroll for the upcoming batch . Apply early to secure your seats.
-
1. Fill application form
Apply by filling a simple online application form.
-
2. Interview Process
Go through a screening call with the Admission Director’s office.
-
3. Join program
Selected candidates will receive an offer letter. Secure your seat by paying the admission fee.
Frequently asked questions
Program Details
What is the duration of the Data Analytics Post-Graduate Programme?
The PG Diploma in Data Analytics Course in Delhi at Uncodemy lasts 6-12 months, offering offline training, placement support, and an industry-focused curriculum at the best institute in Delhi.
Is prior experience in programming required for this course?
No prior programming experience? No worries! Uncodemy’s Best PG Diploma in Data Analytics Course in Delhiwelcomes beginners, offering hands-on training and placement support to build job-ready skills.
What skills will I gain from the program?
What skills will I gain from the program?
- Mastering Data Analysis:Learn how to clean, analyze, and interpret complex datasets to make data-driven decisions.
- ✅ Machine Learning & AI Fundamentals:Build predictive models and automate data processes using cutting-edge AI techniques.
- ✅ Big Data & Cloud Technologies:Work with Hadoop, Spark, and cloud platforms to manage and process large-scale data efficiently.
- ✅ Data Visualization & Storytelling:Use Power BI, Tableau, and Python libraries to transform raw data into meaningful insights.
- ✅ Statistical Analysis & Predictive Modeling:Apply statistical techniques to uncover trends, forecast outcomes, and enhance business strategies.
Eligibility Criteria
Will I get hands-on experience during the program?
Yes! Uncodemy’s Best PG Diploma in Data Analytics Course in Delhi offers hands-on training, real projects, and placement support for practical learning.
Admission Queries
Can I attend the program online?
Yes! Uncodemy offers both online and offline PG Diploma in Data Analytics courses in Delhi with expert training, placement support, and a comprehensive curriculum. .
Does the program include placement assistance?
Yes! Uncodemy’s Best PG Diploma in Data Analytics Course in Delhi with Placement ensures top-notch training and job opportunities for learners.
Fee Related Queries
What qualifications do I need to enroll?
To enroll in Uncodemy’s PG Diploma in Data Analytics Course in Delhi, you need basic analytical skills—no strict qualifications! Our Best PG Diploma in Data Analytics Institute in Delhi offers Offline PG Diploma in Data Analytics Course in Delhi with hands-on training, placement support, and an industry-focused PG Diploma in Data Analytics Course Curriculum in Delhi. Check the PG Diploma in Data Analytics Course Fee in Delhi and Course Duration for details. Whether you're a fresher or professional, our Advanced PG Diploma in Data Analytics Training in Delhi prepares you for a thriving career!
What certifications will I receive upon completion?
Upon completing Uncodemy’s PG Diploma in Data Analytics Course in Delhi, receive industry-recognized certifications, boosting career opportunities with placement assistance!
Why Data Science and Business Analytics?
Will I have access to study materials after completing the course?
Yes! After completing your PG Diploma in Data Analytics Course in Delhi at Uncodemy, you'll still access study materials. Our Best PG Diploma in Data Analytics Institute in Delhi ensures lifetime learning support, helping you revise concepts from your Offline PG Diploma in Data Analytics Course in Delhi anytime. With our PG Diploma in Data Analytics Training in Delhi, boost your skills even after course completion. We focus on real-world knowledge, making Uncodemy the Best Institute for PG Diploma in Data Analytics Course in Delhi with industry-relevant resources.
Can I switch between online and offline modes during the program?
Yes! At Uncodemy, you can seamlessly switch between online and offline modes for the Best PG Diploma in Data Analytics Course in Delhi, ensuring flexibility, quality training, and placement support.
How do I get started?
Kickstart your journey with Uncodemy’s Best PG Diploma in Data Analytics Course in Delhi with Placement—expert training, top institutes, and career success.
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