Mastering Python for Data Science & Data Analysis
A comprehensive course that will teach you how to use the power of Python to solve real-world data science and data analysis problems.
Development,Data Science and AI ML,Data Science,Data Analysis
Lectures -90
Duration -14 hours
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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
What will you learn in this course:
- 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 COVID19 data.
Prerequisites
What are the prerequisites for this course?
- Absolutely no prior knowledge or experience is needed. Only a passion to be successful!
- Admin permissions to download files.
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
AISciences
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