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Programming for Data Science

  • Learn complete programming for AI/ML from scratch.
  • Build all programming skills needed for a AI/ML Career from Basic to Advanced
  • A structured 10-course package that takes you step-by-step from fundamentals
    to advanced level, preparing you for real industry work.

Created by Selva Prabhakaran

  • English captions

What you will learn

01

Clear understanding of the overall AI/ML

02

Core python programming from scratch

03

Python libraries like NumPy and Pandas

04

Working with data at scale and operate efficiently

05

Complete

SQL for Data Science

06

Doing data cleaning, preprocessing, and EDA

07

Strong programming & data-handling foundation

08

To handle real-world 

datasets

Courses in the package

    Foundations of Data Science (AI/ML): The Big Picture

    Get complete big picture view of Machine Learning space. Understand its industrial applications
    and limitations, and how projects are undertaken in mature Data Science teams.

    Core Python Programming

    Start with writing the 1st line of code in python and become an expert. Learn the finer practical nuances only experienced programmers know, and practice with 100+ examples and assignments.

    Numpy for Data Science

    Master the go to/most popular library "Numpy" for complex mathematical operations.



    Pandas for Data Science

    Master data manipulation, cleaning, and analysis with Python's Pandas library in our Data Science course.
    Gain essential Python for Data Analysis skill for real-world projects.

    Linux Command Line

    Get started with Linux Command Line quickly.
    Gain working knowledge by learning examples and solving assignments

    SQL for Data science - Level I

    Learn the basic concepts of SQL for data Science.
    Covers everything from scratch.
    Covers theory and complete python code implementation

    SQL for Data science - Level II

    Learn the intermediate concepts of SQL for data Science. Hands on Exercises.
    Covers theory and complete python code implementation.

    SQL for Data science - Level III

    Learn the advanced concept of SQL for data Science
    Hands On Exercises
    Covers theory and complete python code implementation

    SQL for Data Science - Window Functions

    Learn the Window functions of SQL for data Science
    Hands On Exercises
    Covers theory and complete python code implementation

    High Performance Computing (Python)

    Master high-performance computing to tackle complex computations with speed and efficiency.
    Learn to optimize algorithms, leverage parallel processing, and scale applications seamlessly.

    Requirements

    • Courses Page1 Basics of Python
    • Courses Page1 Foundational knowledge of Data Science
    • Courses Page1 High school maths

    Who should attend this course?

    • Professionals in the field of data science

    • Professionals looking for a robust, structured Python learning program

    • Software or data engineers interested in quantitative analysis

    • Professionals working with large datasets

    • Data analysts, economists, researchers

    About the course

    These real data science projects across multiple domains will help you add new data science skills to your profile :

    • LightGBM
    • XGBoost
    • Random Forest
    • Decision Tree
    • Logistic Regression
    • Hyperparameter Tuning
    • Feature Importance
    • Confusion Matrix
    • ROC AUC
    • Concordance and Discordance
    • Precision Recall Curve
    • Capture Rates and Gains
    • Feature Engineering
    • Label Encoding
    • Frequency Encoding
    • Chi-Square test
    • ANOVA test
    • Exploratory Data Analysis
    • Memory Optimization
    • Data Preprocessing
    • Time Series Forecasting
    • ARIMA
    • SARIMAX
    • Prophet by FB
    • Memory Optimization

    Instructor

    Selva Prabhakaran Principal Data Scientist

    My name is Selva, and I am super excited to mentor you on this project!

    I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I’ve deployed 20+ global products. I’m also the Founder & Chief Author of Machine Learning Plus, which has over 4M annual readers.

    I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I’ve put up the series of courses and projects with detailed explanations – just like an on the job experience. Hope you love it!

    • 4.9+Course rating

    • 200+ reviews

    • 57K+students

    • 80+ Courses

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