Mastering Python for Data Science & Data Analysis

4.3 ★★★★ ★

Mastering Python for Data Science & Data Analysis

Name: Master Python for Data Science &amp; Analysis - Online Course
Rating: 4.3 (131 reviews)
Author: AI Sciences

Learn and build your Python Programming skills, from the ground up in addition to Python Data Science libraries & tools

updated on icon Updated on Nov, 2024

language icon Language - English

person icon AI Sciences

English [CC]

category icon Development ,Data Science,Python

Lectures -90

Duration -14 hours

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4.3 ★★★★ ★

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Course Description

Welcome to Mastering Python for Data Science & Data Analysis!

This real-time actionable course is suitable for all skill levels. A programming or statistical background is not mandatory for you to be successful in this course. But you learn Python best by doing. That’s the reason you have a series of mini-projects in this course.

This course will enable you to build a Data Science foundation, whether you have basic Python skills or not. The code-along and well-planned-out exercises will make you comfortable with the Python syntax right from the outset. At the end of this short course, you’ll be proficient in the fundamentals of Python programming for Data Science and Data Analysis.

In this truly step-by-step course, every new tutorial video is built on what you have already learned. The aim is to move you one extra step forward at a time, and then, you are assigned a small task that is solved right at the beginning of the next video. That is, you start by understanding the theoretical part of a new concept first. Then, you master this concept by implementing everything practically using Python.

Become a Python developer and Data Scientist by enrolling in this course. Even if you are a novice in Python and data science, you will find this illustrative course informative, practical, and helpful. And if you aren’t new to Python and data science, you’ll still find the hands-on projects in this course immensely helpful.

Who this course is for?

This course is for you if you want to master writing code in Python for Data Science and Machine Learning.
This course is for you if you are looking for a simple and inexpensive Python course.
This course is for you if you like doing as you learn.
This course is for you if you want to shorten your learning curve in programming.
You’ll simply love this course as there’s plenty of excitement in the form of challenging homework.

Goals

Learn how to start with Python 3.
Gain confidence in the usual problem-solving techniques that you will encounter on a day-to-day basis as a programmer.
In-depth study of Variables and Operators in Python.
In-depth study of Functions and Modules in Python.
In-depth study of data structures (Lists, Tuples, Sets, and Dictionaries).
Learn to use NumPy for Numerical Data Processing.
Learn to use Matplotlib, Seaborn, and Bokeh for Data Visualization.
Learn to use Pandas for Data Manipulation and Data Analysis.
Learn to use SciKit-Learn for Machine Learning Tasks.
Learn to use Python for Data Science and Machine Learning.
Apply the concepts and models you learn in this course in the real world using COVID-19 data.

Prerequisites

Absolutely no prior knowledge or experience is needed. Only a passion to be successful!
Admin permissions to download files.

Mastering Python for Data Science & Data Analysis

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction to the Course
4 Lectures

About the Tutor and AI Sciences 11:54 11:54
Introduction To Instructor 02:19 02:19
Focus of the Course 10:54 10:54
Plus and Exclusions 07:41 07:41

Basics of Programming
6 Lectures

Why Python and Jupyter Notebook
2 Lectures

Installation of Anaconda and IPython Shell
3 Lectures

Variable and Operator
7 Lectures

Python Useful function
4 Lectures

Control Flow in Python
10 Lectures

Function and Module in Python
13 Lectures

String in Python
5 Lectures

Data Structure (List, Tuple, Set, Dictionary)
8 Lectures

NumPy for Numerical Data Processing
10 Lectures

Pandas for Data Manipulation
7 Lectures

Matplotlib, Seaborn, and Bokeh for Data Visualization
7 Lectures

Scikit-Learn for Machine Learning
4 Lectures

Instructor Details

AI Sciences

Welcome to the epicenter of innovation, where a collective of visionaries, PhDs, and leading practitioners in Artificial Intelligence, Computer Science, Machine Learning, and Statistics unite. Our team hails from the tech titans - Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.

In our commitment to demystify the complex world of tech, we've crafted an extensive series of courses. Tailored primarily for beginners and newcomers, these courses are your gateway into the realms of Machine Learning, Statistics, Artificial Intelligence, and Data Science. We embarked on this journey with a simple goal: to make these advanced concepts accessible, minimizing theory and lengthy texts, allowing eager minds to dive straight into practice.

As our mission evolved, so did our offerings. We now present comprehensive courses that cater to a broader audience, ensuring everyone can navigate and master these fields with ease.

The impact of our courses has been nothing short of remarkable. We've empowered over 100,000 students, transforming them into masters of AI and Data Science. Join us, and be part of this journey of learning and empowerment, where your mastery of the future begins today.