Data Analytics with Python

A practical and career-focused Data Analytics program designed for beginners, students, and working professionals who want to build strong analytical and reporting skills.

This program covers industry-relevant tools including Python, SQL, Excel, VBA, Power BI, Tableau, MongoDB, and Data Visualization techniques. Students work on real datasets, practical assignments, and portfolio-ready analytics projects.

Key Highlights:

• Beginner to professional learning path
• Practical training with real projects
• Dashboard and reporting skills
• SQL query writing and database management
• Power BI and Tableau reporting
• Excel automation and VBA
• Portfolio and interview preparation
• Expert mentorship and career guidance

Build a strong coding foundation for analytics, automation, and reporting workflows.

Topics Covered:

• Python setup and fundamentals
• Variables, operators, comments, literals
• Input/output operations
• Control flow and loops
• Strings and formatting
• Lists, tuples, dictionaries, sets
• Functions and scope
• File handling and CSV processing
• Exception handling
• Object-Oriented Programming
• Regular expressions for data cleaning
• Tkinter basics
• Multithreading introduction

NumPy & Pandas:

• Arrays, vectors, and matrices
• DataFrames and Series
• CSV, Excel, and HTML datasets
• Data cleaning and preprocessing
• GroupBy and Crosstab
• Sorting and filtering
• Data visualization with charts and graphs

Learn to store, filter, combine, and analyze structured data using SQL.

Topics Covered:

• Database concepts and RDBMS
• SQL workflow and commands
• DDL, DML, and DQL
• CREATE, ALTER, DROP
• Constraints and keys
• INSERT, UPDATE, DELETE
• SELECT and filtering queries
• ORDER BY and aliases
• Aggregate functions
• String and date functions
• INNER, LEFT, RIGHT, FULL joins
• Subqueries and nested queries
• UNION and CASE statements
• Stored procedures and functions
• Triggers and transactions
• Query optimization and indexing
• SQL security basics

Understand analytical thinking and statistical concepts used in modern reporting and business analysis.

Topics Covered:

• Descriptive statistics
• Probability fundamentals
• Mean, median, mode
• Variance and standard deviation
• Correlation and trends
• Data interpretation
• Exploratory Data Analysis (EDA)
• Hypothesis testing basics

Develop advanced spreadsheet and reporting skills for business analytics.

Topics Covered:

• Advanced Excel formulas
• Pivot tables and pivot charts
• Data filtering and sorting
• Conditional formatting
• Lookups and logical formulas
• Data cleaning techniques
• Interactive dashboards
• Report automation 

Automate Excel workflows and repetitive reporting tasks using VBA.

Topics Covered:

• VBA fundamentals
• Macro recording and editing
• Variables and loops in VBA
• Automated reporting
• User forms and controls
• Workflow automation
• Excel task automation

Learn document-based databases and NoSQL concepts used in modern applications.

Topics Covered:

• Introduction to NoSQL
• MongoDB architecture
• Collections and documents
• CRUD operations
• JSON-based data handling
• Filtering and aggregation
• Querying documents

Create business intelligence dashboards and interactive visual reports.

Topics Covered:

• Power BI interface
• Data import and transformation
• Data modeling
• KPI dashboard creation
• Charts and visualizations
• Publishing and sharing reports
• Interactive business dashboards

Understand relationships, calculations, and advanced analytics in Power BI.

Topics Covered:

• Data modeling concepts
• Relationships and schema design
• DAX formulas
• Measures and calculated columns
• Time intelligence
• Business calculations
• Dashboard optimization