5.0
Course Rating
3.9k+
Learners
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Total Content
Beginner
Level
📊 Data Analysis and Feature Engineering with Python
Load messy real-world data from any source, clean it, explore it, visualize it, and turn it into features a model can actually learn from.
Lifetime Access
Learn anytime. No deadlines.
Session Recordings
Rewatch sessions and learn at your pace.
Mentor Support
Get guidance and clear your doubts.
Community Access
Learn, connect, and grow together.
Tools & Technologies You'll Use
PostgreSQL
MySQL
ER Modeling
SQL
Docker
Lifetime Access
Learn at your own pace, anytime, anywhere.
Certificate
Earn a verified certificate upon completion.
Hands-on Projects
Build real-world projects for your portfolio.
Mentor Support
Get guidance and clear your doubts.
Live Sessions Including
Topic Explanation
Learn concepts live with practical examples.
Doubt Clearing Sessions
Ask questions, clear doubts, and get help.
Hands-on Projects
Work on projects with guidance and support.
Mock Interview
Practise interviews and exchange feedback.
Session dates and times are scheduled based on community demand.
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Benefits
Get Full Course Access
Earn a Verified Certificate
Pay as Much as You Wish
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After this course, you can
Design normalized relational database schemas for scalable applications
Create ER diagrams and professional database design documentation
Implement indexing, constraints, and performance optimization strategies
Build secure and production-ready relational database systems
Course Curriculum
Follow this structured learning path to build skills from beginner to advanced.
Lessons
Start here after enrolling. These lessons build your core foundation step by step.
Why Pandas Exists, and What a DataFrame Really Is
12 min
Series vs DataFrame: The Two Shapes of Everything
17 min
Loading Data and the First 5 Things You Always Check
17 min
Indexing and Selection: loc, iloc, and Boolean Masks
14 min
Dtypes: The Silent Cause of Half Your Bugs
14 min
Sorting, Filtering, and Creating New Columns
13 min
Groupby: Split, Apply, Combine
13 min
Aggregation Beyond mean(): Custom and Multiple Aggs
14 min
Merging and Joining: The Four Joins, Illustrated
12 min
Pivot Tables, melt, and Wide vs Long Data
17 min
Time Series: Datetime Index, Resampling, Rolling Windows
18 min
Method Chaining and Writing Pandas You Can Reread
14 min
CSV and Excel: Encodings, Separators, and Broken Headers
17 min
JSON and Nested Data: Flattening Without Crying
12 min
SQL from Pandas: Queries, Connections, and Pushing Work to the DB
13 min
Pulling Data from APIs: Requests, Pagination, Rate Limits
18 min
Parquet and Why Analysts Stop Using CSV
18 min
Files Too Big for Memory: Chunking and Dtype Tricks
14 min
Missing Values: Why They're Missing Changes What You Do
13 min
Dropping vs Imputing, and How to Choose
17 min
Outliers: Detection with IQR, Z-Scores, and Your Eyes
12 min
Treating Outliers Without Deleting the Truth
14 min
String Cleaning and Regex for Messy Text Columns
15 min
Duplicates, Type Conversions, and a Validation Checklist
18 min
The EDA Mindset: Questions Before Code
19 min
Univariate Analysis: One Column at a Time
16 min
Distributions: Shape, Skew, and What Normal Actually Means
13 min
Bivariate Analysis: Relationships Between Columns
16 min
Correlation, and Why It Lies to You
12 min
Automated EDA Tools and Documenting Findings
18 min
Matplotlib: Figures, Axes, and Finally Understanding the API
14 min
Seaborn: Statistical Plots in One Line
17 min
Choosing the Right Chart for the Question
13 min
Plotly: Interactive Charts People Actually Explore
16 min
Dashboard Basics: Putting Charts Together
17 min
Publication-Quality Polish: Labels, Colour, and Honest Axes
17 min
What a Feature Is, and Why Models Care
17 min
Numeric Features: Scaling, Transforms, Binning
13 min
Categorical Features: One-Hot, Ordinal, Target Encoding
15 min
Datetime and Text Features Hiding in Plain Sight
17 min
Interactions, Aggregated Features, and Leakage Traps
16 min
Capstone: Raw Dataset to Clean, Explored, Feature-Ready Output
18 min
Live Session Recordings
LiveLearn live with instructors, ask questions, and get real-time guidance. Previous recordings are included.
Topic Explanation
Learn concepts live with practical examples and guidance.
Doubt Clearing Sessions
Ask questions, clear doubts, and get help when you need it.
Hands-on Projects
Work on projects with guidance and support from mentors.
Mock Interview
Practise interviews, exchange feedback, and build confidence.
Bonus Resources
Get bonus content and resources to practise, revise, and go deeper.
Study Materials
Cheat Sheets
Interview Q&A
PYQ PDFs
PPTs
Quizzes
Requirements
What you should have before starting the course.
Laptop with database software installed
Basic understanding of SQL queries
Familiarity with data structures and relationships
Stable internet connection
Interest in backend system and database design
Curriculum Designed & Verified by Industry Experts
Learn skills and concepts validated by industry professionals who use them in real-world work every day.
Aarav Sharma
Senior Frontend Engineer, StudioLabs
Aarav has mentored 1200+ learners and specializes in production UI systems and scalable frontend architecture.
LinkedIn
Ananya Mehta
Design Technologist, CraftLabs
Ananya blends design and code to help learners ship portfolio-ready projects.
LinkedIn
Kabir Sayed
Frontend Mentor, PixelWorks
Kabir focuses on clean code, accessibility, and practical frontend delivery.
LinkedInThis course is for you if you want to
Wherever you are in your journey, this course helps you learn, build, and grow with confidence.
Students & Fresh Graduates
Build a strong foundation and turn what you learn into practical experience.
Learn from beginner to advanced
Build real-world projects
Get feedback and improve
Working Professionals
Upgrade your skills and apply new knowledge directly in your career.
Learn in-demand skills
Apply directly to your work
Grow with practical knowledge
Career Switchers
Follow a clear path as you transition confidently into a new career.
Structured learning path
Hands-on practice
Mentor support at every step
Freelancers & Creators
Sharpen your craft and deliver better results for your clients and audience.
Work on client-ready projects
Improve efficiency and quality
Stay current with modern tools
For anyone who wants to learn, build, and grow. All you need is curiosity and a willingness to take the first step.
What you will get after completing this course
Receive an official course completion certificate
Live verification URL with PDF and downloadable option
Signed by your course designer and the Director of Shattak
Carries your name, course title, and completion date
Recruiters can check it in seconds from your LinkedIn or resume
Pay After Certification
Pay whatever you feel it is worth, only after you get certified. No questions asked.
Hear From Learners Who've Taken This Course
Honest feedback from learners who completed the live sessions.
4.8
24
Clear structure, solid examples, and a fast pace that keeps you engaged.
Riya Jain
B.Tech, NIT Trichy
4.6
18
Practical sessions with feedback that helped improve my portfolio.
Kabir Singh
Frontend Intern, PixelWorks
4.9
12
Loved the structure and the live walkthroughs.
M
Meera Patel
Design Graduate
Join Our Community, Ask Questions
Frequently Asked Questions
Students, working professionals, and career switchers who want to build job-ready web projects.
Basic familiarity with HTML or CSS is helpful, but the course includes beginner-friendly guidance.
Yes, recordings are shared after each live session.
Mentors provide live feedback and follow-up notes during the sessions.
Yes, you can ask questions in the community group and during live office hours.
Learners
3,909+
Duration
Not set
Get Life Time Access
₹0
₹399
100% off
Get Life Time Access
₹0
₹399
100% off