Advanced Data Analytics using Python [2022]

Advanced Data Analytics using Python [2022] | Udemy
English | Size: 14.98 GB
Genre: eLearning

What you’ll learn
Learn about python variables and data types.
Learn about loops and conditionals in python.
Learn about the different data structures of python.
Learn about the creation of functions in python.
Learn about object oriented programming using python.
Learn about searching, sorting and time complexity in python.
Learn about Regular expressions and date time objects in Python.
Learn about the Numpy and the Pandas library.
Learn exploring data using Dabl and Sweetviz library.
Learn probability concepts such as Conditional probability, bayes theorem.
Learn about descriptive and inferential statistics.
Learn the concept of normal distribution.
Learn about the different hypothesis tests- T test, Z test, Anova Test and Chi Squared test
Learn about the different hypothesis tests- T test, Z test, Anova Test and Chi Squared test.
Learn how to handle missing values and outliers.
Learn the basics as well as advanced visualization techniques.
Learn how to use of group by functions, pivoting functions.
Quizzes and exercises
Use Python to solve real-world tasks
Learn how to code in Python
Learn to program in Python at a good level

Welcome to the online course on Advanced Data Analytics using Python.

Data analysts exist at the intersection of information technology, statistics and business. They combine these fields in order to help businesses and organizations succeed.

The primary goal of a data analyst is to increase efficiency and improve performance by discovering patterns in data.

In this course, you will get advanced knowledge on Data Analytics.

This course begins with providing you the complete knowledge on Python programming language.

You will learn all the concepts of python programming from basics to advanced level.

This course will cover the following topics:-

Variables and data types

Loops and conditionals

Functions

Object oriented programming

Dates and times

Regular expressions

Numpy and pandas library

Along with python programming, this course will cover other data analytics concepts such as

Data Visualization

Data cleaning

Query Analysis

Data Exploration

Statistics and Probability concepts

All these topics are covered in detail.

Along with theory you will get to practice them using some real world datasets.

There will be lots of exercises and quizzes.

Not only this, you will get to work on some exciting projects including Startups Case Study and Analysis, IPL Player performance Analysis.

Instructor Support – Quick Instructor Support for any queries.

I’m looking forward to see you in the course!

Lots of exercises and quizzes are waiting for you.

You will also have access to all the resources used in this course.

Enroll now and become an expert in data analytics.

Who this course is for:
Data Analysts
Business Analysts
Data Scientist
Programming beginners
Students and professionals who want to improve the training capabilities
Anyone who wants to explore data science.
Take your career to the next level
Job-seekers
People interested in finance and investments
Everyone who wants to learn how to code and apply their skills in practice
This course is for you if you like exciting challenges

If any links die or problem unrar, send request to
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