Data Analysis
Course 2026
Master Python, Pandas, SQL, Data Visualization, Statistics, and more. Turn raw data into actionable insights and become a certified data analyst.
Course Overview
The Data Analysis Course 2026 is a comprehensive program designed to transform you into a skilled data analyst. You'll learn how to collect, clean, analyze, and visualize data using the most powerful tools in the industry — Python, Pandas, SQL, and data visualization libraries.
Whether you're starting fresh or looking to upskill, this course gives you the practical skills to make data-driven decisions. Work on real-world datasets, build a professional portfolio, and gain the confidence to tackle any data challenge.
- Master Python, Pandas, NumPy, and SQL
- Create stunning data visualizations with Matplotlib & Seaborn
- Learn statistical analysis and hypothesis testing
- Get MSME certified upon completion
- Lifetime access to course materials
Course Curriculum
10 comprehensive modules covering every aspect of data analysis
- What is Data Analysis? The Data Science Pipeline
- Types of Data: Structured vs Unstructured
- The Role of a Data Analyst in Business
- Data Ethics and Privacy Considerations
- Setting Up Your Data Analysis Environment
- Python Basics: Variables, Loops, and Functions
- Working with Lists, Dictionaries, and Tuples
- List Comprehensions and Lambda Functions
- Error Handling and Debugging in Python
- Writing Readable and Efficient Python Code
- Introduction to NumPy Arrays and Operations
- Pandas Series and DataFrames
- Data Cleaning: Handling Missing Values and Duplicates
- Data Transformation: Filtering, Sorting, and Grouping
- Merging, Joining, and Concatenating Datasets
- Applying Functions to DataFrames
- Introduction to Data Visualization Principles
- Matplotlib: Line Plots, Bar Charts, and Histograms
- Seaborn: Advanced Statistical Visualizations
- Heatmaps, Pairplots, and Distribution Plots
- Customizing Visualizations for Presentations
- Interactive Visualizations with Plotly
- Introduction to SQL and Relational Databases
- Writing SELECT Queries to Extract Data
- Filtering, Sorting, and Grouping Data with SQL
- Joins: INNER, LEFT, RIGHT, and FULL OUTER
- Subqueries and Common Table Expressions (CTEs)
- Window Functions and Analytical Queries
- Descriptive Statistics: Mean, Median, Mode, and Standard Deviation
- Probability Distributions: Normal, Binomial, and Poisson
- Hypothesis Testing and P-Values
- Confidence Intervals and Margin of Error
- Correlation vs Causation
- Statistical Tests: T-Test, ANOVA, Chi-Square
- Module 7: Data Storytelling and Reporting
- Module 8: Exploratory Data Analysis (EDA) Techniques
- Module 9: Machine Learning Fundamentals for Data Analysts
- Module 10: Capstone Project — End-to-End Data Analysis on Real-World Dataset
What You'll Learn
Skills you'll master by the end of this course
Python & Pandas
Manipulate and analyze data efficiently
SQL Mastery
Extract and query data from databases
Data Visualization
Create compelling visual stories with data
Statistical Analysis
Apply statistics to real-world problems
Data Storytelling
Communicate insights effectively
Portfolio Projects
Build a professional data portfolio
Who Is This Course For?
Perfect for anyone looking to build a career in data
Students & Graduates
Start a high-demand career in data analytics
Working Professionals
Upskill and transition to data roles
Entrepreneurs
Make data-driven business decisions
Career Changers
Enter the high-growth data industry
Ananya Reddy
Ananya is a seasoned data scientist with over 9 years of experience in data analytics and machine learning. She has worked with Fortune 500 companies and startups, helping them leverage data for strategic decision-making. She is passionate about making data science accessible and has trained over 4,000 students.
What Our Students Say
Real feedback from real learners
"I was a complete beginner in data analytics, but this course made everything click. The hands-on projects and real-world datasets gave me the confidence to apply for data analyst roles. I landed my dream job within 4 months!"
"The SQL and Python modules were incredibly well-structured. I went from knowing zero code to writing complex queries and building data pipelines. The instructor's explanations were crystal clear and the support was always available."
Frequently Asked Questions
Everything you need to know before enrolling