About the Course

If you are completely new to Data Science, this well recognized course is the best place to start. This course assumes zero knowledge of Data Science and takes you through your first sprint of the journey.

We do not believe in a haphazard and spaghetti approach to learning. For this reason all our courses linearly build upon each other, and the concepts are introduced at strategic timelines to ensure they stay locked in your mind.

The course is jam packed with more than 5 exciting real world projects, excluding exercises and drills! This is a completely hands-on intensive program designed to give you a solid foundation into exploratory data analysis (EDA). We have done extensive research into what to include and what to exclude from the course. Each and every piece of code and concept is hand-picked to fulfil a crucial learning outcome required for real-world application. The purpose is not to mindlessly execute code, but to understand the principles behind what we are doing. Once you understand these basic principles, you can start to apply them in your own analysis at once!

Prerequisites

• Curiosity
• Basic arithmetic skills - Brackets, division, multiplication, addition, subtraction
• Ability to operate a computer, keyboard and mouse
• Ability to use a web browser to access and use the internet
• Ability to install software on your computer

Hardware and Software Requirements

• Physical operational computer (not in virtualization) - Fedora 34 or greater OR PopOS/Ubuntu 20.04 or greater, OR Windows 10 or greater, OR MacOS 10 or greater
• 8 GB RAM, 16 GB Recommended
• Broadband internet connection > 5 MBPS
• 50 GB Free Hard Disk space, SSD Recommended

Learning Objective

The purpose of this bootcamp is to give you a solid foundation for the rest of the professional tracks that follow, but more importantly helps you decide if you want to take up Data Science as a career or a supporting skill.

Introduction

• Introduction to Data Science
• Introduction to the Python scripting language
• Toolchain setup

Python for Data Science

• Numpy
• Pandas

Data Visualization

• MatplotLib
• Pandas Viz
• Seaborn
• Plotley

Learning Outcome

Projects (guided and unguided)

• Failed Banks Exploratory Data Analysis
• E-Commerce Purchases Analysis
• Movie Recommender System (Simple)
• Kaggle : SF Salaries Dataset Exploratory Data Analysis
• Kaggle : RMS Titanic Exploratory Data Analysis
• Diamonds dataset : Exploratory Data Analysis
• Kaggle : USA 911 Calls data Exploratory Data Analysis

Fineprint

• The topics presented are tentative and we reserve the right to add or remove a topic to update or improve the bootcamp, or for a technical or time reasons.
• † taxes extra.