Python for Data Science

for non-programmers

Python is one of the best starting points for entry to the world of data science; whether you come from a programming background (or not!). This course has been designed keeping non-programmers in mind as well, providing a great foundation for data science to learners of all skill levels.

This in-depth, step-by-step live online lectures and practice sessions will start you on your journey to be a Python expert – focusing on analysing data and finding deeper insights.

Course Overview

Python has become the key programming language for many areas. Data analytics is one of the areas where Python is used extensively. Hence the demand for Python as a skillset has sky-rocketed.

Algo Lab’s Python for Data Science program is focused on helping professionals gain industry-relevant expertise in python for data science and analytics. This program is designed keeping learners in mind who come from non-programming background.

This is a 36 hours of instructor-led online training that covers all the essential Python skills that are required for data analysis.

You will learn from industry-experts who will hand-hold you to learn Python for Data Science and get ready for the industry by mastering Python easily.

Comprehensive 36 hours program
100% live online classes
Live hands-on practice sessions
Online support from industry experts
Real-life industry challenges
Class recordings
Learning materials

What you will learn:

How to use Anaconda, Jupyter Notebook, and Google Colab
Learning Coding Practices
Python Variables & Data Types
Python Operators
Python Conditional Statements & Loops
Python Strings
Python Data Structures (List, Tuple, Dictionary, Set)
Python UDFs & Lambda Functions
Intro to Regular Expressions
NumPy
Pandas Series
Pandas DataFrames
Data Visualization
Data Cleaning with Python
Exploratory Data Analysis with Python;

Schedule

Weekends (Sat – Sun) Mar 5 – Apr 10, 2022

Training Timing:

India Timing:
Sat: 07:00 AM – 09:30 AM (IST)
Sun: 07:00 AM – 10:30 AM (IST)

Singapore Timing:
Sat: 09:30 AM – 12:00 PM (SGT)
Sun: 09:30 AM – 01:00 PM (SGT)

Week 1 (Mar 5 - Mar 6)
Week 2 (Mar 12 - Mar 13)
Week 3 (Mar 19 - Mar 20)
Week 4 (Mar 26 - Mar 27)
Week 5 (Apr 5 - Apr 6)
Week 6 (Apr 9)
Mock Interview (Apr 10)

Faculty Member

Dipayan Sarkar

Senior Data Scientist, Ex-Maersk

Adjunct Faculty, Great Learning, Chennai and BML Munjal University, Gurgaon

Author, Ensemble Machine Learning (PACKT Publishing)

Author, Deep Learning with R (PACKT Publishing)

With over 20 years of experience, Dipayan has a wealth of knowledge under his belt when it comes to analytics in real-world situations. Prior to being an independent consultant and a mentor in the Data Science, Machine Learning (ML), and AI space with various organizations, universities, and educational institutions, he served in the capacity of a senior data scientist with various Fortune 500 companies. He also holds a Masters in Economics and is currently pursuing doctoral program in artificial intelligence from Rennes School of Business, France

Over the last decade, he has focused his analytics expertise in the fields of Data Science, ML, and AI as he has found how passion, technology, and analytics can be combined to create products that are essential in today’s business environment. Dipayan takes a keen interest in the mathematics behind the ML techniques.

While consulting for corporations on their Data Science and Analytics requirements, he is also a current content developer, mentor, and trainer in the Data Science, ML, and AI space with premier institutions in India & Singapore.