Professional Data Analytics Course
Unlock powerful insights from data and become a job-ready data analyst. This course covers everything from data manipulation and visualization to database querying, dashboard building, and real-time analytics with industry-standard tools.
- Introduction to Python Programming:- Python installation & setup (Anaconda / Jupyter Notebook)
- Python syntax, indentation & comments
- Variables, Data Types, Type Casting
- Operators: Arithmetic, Comparison, Logical, Assignment
- Input/Output operations and basic scripting - Control Structures & Functions:- Conditional Statements: if, elif, else
- Loops: for, while, break & continue
- Defining & Calling Functions
- Arguments, Return Values, Lambda Functions
- Recursion & Scope of Variables - Data Structures in Python:- Lists, Tuples, Sets, Dictionaries
- Indexing, Slicing, Built-in Methods
- List Comprehension & Dictionary Comprehension
- Stacks, Queues (using list/deque)
- Nested structures and JSON format - NumPy – Numerical Python:- Arrays vs Lists
- Creating 1D, 2D arrays
- Array indexing, slicing, reshaping
- Vectorized operations, broadcasting
- Statistical, Mathematical & Aggregate Functions - Pandas – Data Analysis Toolkit:- Series and DataFrame creation
- Reading/Writing CSV, Excel, JSON
- Data selection, filtering & indexing
- Handling missing data, duplicates
- GroupBy, Merge, Join, Pivot Tables - Data Visualization with Matplotlib & Seaborn:- Line, Bar, Pie, Scatter Plots
- Histogram, Box Plot, Heatmaps
- Plot customization (titles, labels, colors)
- Subplots, styling, and themes in Seaborn
- Visualizing trends, correlations, and distributions - Mini Projects & Assignments:- COVID-19 Data Analysis
- IPL Dataset Analysis
- Sales Dashboard using Pandas & Matplotlib
- Excel file data merging & report generation
- Capstone: End-to-end data analysis project with real data