
Level: Beginner
š 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.
5.0
3.9k+ learners
Duration
0 min
Learners
3.9k+ Enrolled Students
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Post Session
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Includes
⢠Expert Designed Curriculum
⢠Doubt Clearing Session
⢠Forever Community Access
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
Expand or explore the full learning path.
Lessons
Start here after enrolling. These lessons form the core learning path for the course.
Why Pandas Exists, and What a DataFrame Really Is
Series vs DataFrame: The Two Shapes of Everything
Loading Data and the First 5 Things You Always Check
Indexing and Selection: loc, iloc, and Boolean Masks
Dtypes: The Silent Cause of Half Your Bugs
Sorting, Filtering, and Creating New Columns
Groupby: Split, Apply, Combine
Aggregation Beyond mean(): Custom and Multiple Aggs
Merging and Joining: The Four Joins, Illustrated
Pivot Tables, melt, and Wide vs Long Data
Time Series: Datetime Index, Resampling, Rolling Windows
Method Chaining and Writing Pandas You Can Reread
CSV and Excel: Encodings, Separators, and Broken Headers
JSON and Nested Data: Flattening Without Crying
SQL from Pandas: Queries, Connections, and Pushing Work to the DB
Pulling Data from APIs: Requests, Pagination, Rate Limits
Parquet and Why Analysts Stop Using CSV
Files Too Big for Memory: Chunking and Dtype Tricks
Missing Values: Why They're Missing Changes What You Do
Dropping vs Imputing, and How to Choose
Outliers: Detection with IQR, Z-Scores, and Your Eyes
Treating Outliers Without Deleting the Truth
String Cleaning and Regex for Messy Text Columns
Duplicates, Type Conversions, and a Validation Checklist
The EDA Mindset: Questions Before Code
Univariate Analysis: One Column at a Time
Distributions: Shape, Skew, and What Normal Actually Means
Bivariate Analysis: Relationships Between Columns
Correlation, and Why It Lies to You
Automated EDA Tools and Documenting Findings
Matplotlib: Figures, Axes, and Finally Understanding the API
Seaborn: Statistical Plots in One Line
Choosing the Right Chart for the Question
Plotly: Interactive Charts People Actually Explore
Dashboard Basics: Putting Charts Together
Publication-Quality Polish: Labels, Colour, and Honest Axes
What a Feature Is, and Why Models Care
Numeric Features: Scaling, Transforms, Binning
Categorical Features: One-Hot, Ordinal, Target Encoding
Datetime and Text Features Hiding in Plain Sight
Interactions, Aggregated Features, and Leakage Traps
Capstone: Raw Dataset to Clean, Explored, Feature-Ready Output
Live Session Content
This topic will be taught live in an interactive session, allowing you to engage with the instructor and ask questions in real time. While recordings will be available, attending live offers the best learning experience.
Post Session Study Material
This section will be unlocked after the session. You'll get access to exclusive bonus content, additional examples, and on-demand resources to support continuous learning and deeper understanding.
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
Tools you are going to use
PostgreSQL
MySQL
ER Modeling
SQL
Docker
Learn From Expert Instructor
Meet the mentors leading the live sessions.

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.
LinkedInYou should join this course if you
Students & Fresh Graduates
Build a strong portfolio
Learn from live mentors
Get feedback on your work
Working Professionals
Upgrade frontend skills
Ship real projects
Join a peer community
Career Switchers
Structured learning path
Hands-on practice
Guided sessions
Freelancers & Creators
Build client-ready sites
Improve delivery speed
Learn modern workflows
What you will get after completing this course
Receive an official course completion certificate
Earn skill-focused feedback from mentors
Showcase your project in the Shattak community
Access lifetime notes and references
Stay connected with instructors for guidance
Completion bonus
Certificate access, community showcase, and lifetime mentor guidance.
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.
Shattak courses are primarily self-paced and may include lessons, recordings, assignments, projects, and additional learning resources. Live sessions may also be conducted based on community demand.
Yes. If a live session is conducted for your course, you can access the recording and revisit the content at your own pace.
Yes. Shattak has a learning community where you can ask questions, interact with other learners, share your progress, and get guidance from mentors and peers.
Not always. Each course clearly mentions its requirements and the level of experience needed. Many courses are designed for complete beginners.
Yes. You can earn a course completion certificate after completing the required learning materials and submitting the required assignments or projects.
Yes. You can add your certificate to your LinkedIn profile, resume, portfolio, and other places where you want to showcase your learning and achievements. You may also use it for academic or professional purposes where applicable.
All Shattak courses are free to enroll in and start learning. After completing the course and earning your certificate, you can choose how much to pay from ā¹0 to ā¹10,000. Pay what you feel the learning experience was worth, with no questions asked.
You can explore courses by browsing different topics, skills, categories, or career paths. Each course page provides information about what you will learn, requirements, curriculum, and completion benefits.
Yes. Before enrolling, you can explore the course overview, curriculum, learning outcomes, requirements, and other details to understand what the course offers.
Simply open the course page and click Enroll. All courses are free to enroll in, so you can start your learning journey without paying upfront.
After enrolling, you will be redirected to your course workspace. From there, you can access your lessons and follow the learning path step by step.
Most courses allow you to learn at your own pace. However, some assignments, live sessions, or certification requirements may have specific deadlines.
Depending on the course, you may get access to: ⢠Self-paced lessons ⢠Live sessions based on community demand ⢠Session recordings ⢠Assignments and hands-on projects ⢠Bonus learning resources ⢠Mentor and peer community support ⢠Doubt-clearing and guidance ⢠Course completion certificates
You can ask questions through the learning community and connect with other learners. Depending on the course, you can also receive guidance from mentors and peers.
After completing the required lessons, assignments, and other course requirements, you can submit your work for certification. Once certified, you can access and share your certificate.
If you are an industry professional or expert and want to teach on Shattak, you can apply to become a mentor and create a course or learning experience based on your expertise.
Starting From
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Duration
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Get Life Time Access
ā¹0
ā¹399
100% off
Get Life Time Access
ā¹0
ā¹399
100% off