The Data Analyst Master Program by Pooja M K is a comprehensive online training course designed for students, graduates, and working professionals who want to build strong data analytics skills from the ground up. This course covers Python programming, SQL, Advanced Excel, and Power BI, providing a complete pathway to becoming job-ready in the field of data analysis.

Data analytics is one of the most in-demand skills across industries. Organizations rely on data-driven decision-making, and this course is structured to equip learners with the practical tools and analytical thinking required to handle real-world datasets. Whether you are a beginner or someone looking to upgrade your technical skills, this program systematically covers fundamental to advanced concepts.

The course emphasizes practical learning, hands-on projects, and real-time data analysis techniques to help students gain confidence and competence.

What Students Will Learn

This program is divided into core technical modules:

Python Programming (Basic to Advanced)

• Python fundamentals and syntax
• Data types, loops, functions, and file handling
• NumPy for numerical computing
• Pandas for data manipulation and cleaning
• Matplotlib for data visualization
• Exploratory Data Analysis (EDA)
• Data cleaning and preprocessing techniques

Students will learn how to analyze datasets using Python and build structured analytical workflows.

SQL & Database Management

• Complete SQL concepts
• Database fundamentals and DBMS basics
• Writing queries using SELECT, WHERE, GROUP BY, JOIN, etc.
• Advanced SQL queries
• MySQL usage and database handling
• Data extraction and manipulation

This module ensures students can efficiently retrieve and manage data from relational databases.

Microsoft Excel (Basic to Advanced)

• Excel fundamentals and formulas
• Data sorting, filtering, and validation
• Pivot tables and pivot charts
• Advanced Excel functions
• Data analysis tools in Excel
• Analytical packages using MS Excel

Students will develop strong spreadsheet analysis skills widely used in business environments.

Power BI & Data Visualization

• Complete Power BI platform overview
• Data modeling and transformation
• Creating dashboards and reports
• Data visualization techniques
• DAX basics
• Real-time Power BI projects (2 practical projects)

Students will build interactive dashboards and gain hands-on project experience to strengthen their portfolios.

Teaching Method

This course is delivered through live online sessions that combine theory and practical implementation.

Key features include:

• Step-by-step concept explanation
• Hands-on coding and practice exercises
• Real-time dataset analysis
• Project-based learning approach
• Dashboard-building practice
• Doubt-clearing sessions
• Practical assignments

The focus is on application-oriented training rather than only theoretical knowledge.

Why Learn with Pooja M K

Pooja M K’s structured curriculum ensures a balanced combination of programming, database management, spreadsheet analytics, and visualization tools. The course is designed to cover complete programming knowledge in Python while integrating SQL, Excel, and Power BI for a well-rounded data analytics profile.

The inclusion of real-time Power BI projects helps learners gain practical exposure and understand how analytics is applied in professional environments.

Benefits & Outcomes

• Strong foundation in Python programming for data analysis
• Practical SQL querying and database management skills
• Advanced Excel proficiency for business analytics
• Hands-on experience in building Power BI dashboards
• Real-world project exposure
• Improved data cleaning and visualization skills
• Job-ready analytical toolkit

By completing this course, students will gain the technical knowledge and practical experience required to pursue entry-level data analyst roles or enhance their professional skill set.