Use this checklist to see if you’re truly JOB-READY. The more items you complete, the closer you are to landing your dream data science job! 😎

Check Your Skills with This Checklist!

Python:-
Master Python fundamentals
Understand Pandas for data manipulation
Learn data visualization with Matplotlib and Seaborn
Practice error handling and debugging

Statistics:-
Grasp probability theory
Know descriptive and inferential statistics
Learn statistical machine learning concepts

Exploratory Data Analysis (EDA):-
Perform data summarization
Work on data cleaning and transformation
Visualize data effectively

SQL:-
Understand the BIG 6 SQL statements
Practice joins and common table expressions (CTEs)
Use window functions
Learn to write stored procedures

Machine Learning:-
Master feature engineering
Understand regression and classification techniques
Learn clustering methods

Model Evaluation:-
Work with confusion matrices
Understand precision, recall, and F1-score
Practice cross-validation
Learn about overfitting and underfitting

Deep Learning:-
Get familiar with Convolutional Neural Networks (CNNs)
Understand transformers
Learn PyTorch or TensorFlow basics
Practice model training and optimization

Resume:-
Ensure your resume is ATS-friendly
Customize for the job description
Use the STAR method to highlight achievements
Include a link to your portfolio

AI-Enabled Mindset:-
Develop Googling skills
Use AI tools like ChatGPT or Bard for learning
Commit to continuous learning
Hone problem-solving abilities

Communication:-
Practice presenting insights clearly
Write professional emails
Manage stakeholder communication
Utilize project management tools

LinkedIn:-
Have a good profile picture and banner
Get 10+ endorsed skills
Collect at least 3 recommendations
Link your portfolio in your profile

Portfolio:-
Include 4+ business-related projects
Showcase one project per tool you know
Create an insights desk
Prepare a video presentation

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