The Data Science with Python, SQL, Power BI & Machine Learning course is a practical, end-to-end online program designed for learners who want to build strong, job-relevant data skills from the ground up. Conducted by Ananthkumar Yasarla, this course focuses on turning raw data into meaningful insights using modern tools and techniques widely used in the industry.
The program is suitable for students, graduates, and early-career professionals who want to enter the field of data science or strengthen their analytical capabilities. Starting with Python fundamentals and exploratory data analysis (EDA), the course gradually progresses into SQL-based data handling, professional dashboarding with Power BI, and core machine learning concepts.
All sessions are delivered online, making the course accessible to learners from Madhapur, Hyderabad, and across India.
What Students Will Learn
The curriculum is structured to ensure clarity, hands-on practice, and real-world relevance:
Python for Data Analysis
Python basics for data science
Working with data using Python libraries
Writing clean and logical analytical code
Exploratory Data Analysis (EDA)
Understanding datasets and data types
Data cleaning and preprocessing
Identifying patterns, trends, and outliers
Drawing insights from structured data
SQL for Data Handling
Database concepts and relational thinking
Writing SQL queries to extract and analyze data
Filtering, aggregating, and joining datasets
Power BI for Data Visualization
Creating interactive dashboards
Visual storytelling with charts and reports
Presenting insights for decision-making
Machine Learning Fundamentals
Introduction to machine learning concepts
Understanding supervised and unsupervised learning
Applying basic ML models using Python
Model evaluation and interpretation
Integrated Data Science Workflow
Combining Python, SQL, Power BI, and ML
Working through real-world style datasets
Developing analytical thinking and problem-solving skills
Teaching Method
This is a live online course with a practical, learner-friendly teaching approach:
Concept-first explanations followed by hands-on examples
Real datasets used to demonstrate analysis techniques
Step-by-step guidance for tools like Python, SQL, and Power BI
Interactive sessions with regular doubt clarification
Focus on understanding why techniques are used, not just how
The course is paced to suit both beginners and learners with basic technical exposure.
Why Learn from This Tutor
Ananthkumar Yasarla emphasizes foundational clarity and applied learning in data science. The course is designed to help learners understand the complete data pipeline—from raw data to insights—without making unrealistic claims or shortcuts.
It is particularly helpful for those aiming to build a strong base for advanced analytics, machine learning, or data-driven roles.
Location Context
Students from Hyderabad and other cities can join seamlessly.
Benefits / Outcomes
By the end of this course, students will be able to:
Analyze datasets using Python and EDA techniques
Write effective SQL queries for data extraction
Create professional dashboards using Power BI
Understand and apply basic machine learning models
Build a complete data analysis workflow
Gain confidence for academic projects or entry-level data roles