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Start your Data Analytics Career with Python by solving Real-world case-studies ! Improve your Data Science skills !

What you will learn

Boost your resume by learning real-world skills

Get a job as a data Analyst/scientist with Python

Take your career to the next level

Use Python to solve real-world tasks

Description

Can you start right now?

A frequently asked question of Python Beginners is: “Do I need to become an expert in Python coding before I can start working on Data Analysis Projects?”

The clear answer is: “No!

  • You just require some Python Basics like data types, simple operations/operators, lists and numpy arrays

As a Summary, if you primarily want to use Python for Data Science or as a replacement for Excel, then this course is a perfect match!


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Why should you take this Course?

  • It explains Projects onΒ  real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Analyst/Data Scientist

  • It shows and explains the full real-world Data. Starting with importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning and Data Presentation.

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  • It gives you plenty of opportunities to practice and code on your own. Learning by doing.

  • In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion

  • Guaranteed Satisfaction: Otherwise, get your money back with 30-Days-Money-Back-Guarantee.

English
language

Content

Introduction
Utilize this oppurtunity , QnA section !!
Project 1: Job Market (Naukri.com) Data Analysis
Datasets & resources
Understand high-level Overview of Real-World
Understanding your features more..
Lets clean Payrate feature
Other ways to clean Payrate feature
Perform Feature Engineering on Payrate feature
Lets perform Data cleaning on experience feature..
Lets perform featurization on experience feature..
Perform Feature Engineering On postdate feature..
Prepare Job_location feature
Lets make our data ready.
Lets perform Descriptive statistics on Data..
What are different types of Analysis?
Lets Perform bi-variate analysis
How to Automate your Code !
How to make your code readible using DOCSTRING !
Perform In-Depth Analysis on Data !
Analyse relationship between data !
What are Top rated skills ?
Analysing available position in the industry.
Project 2: Russian Tweets Data Analysis
Datasets & Resources
Understanding High-level Overview of data !
Understand Trend of data !
Preparing your Data For analysis -Part 1
Preparing your Data For analysis -Part 2
Preparing your Data For analysis -Part 3
Analyse Whether tweets impact the way of the US elections or not !
Analysing the percentage change in tweet counts
Understand your Text feature well..
How to Remove Re-tweet mentions from data.
Remove Hyper-links from data
Remove Hashtags from data..
Remove User-mentions from data..
How to extract user-mentions from data !
How to extract hashtags from Data !
Project 3: Super-Market Sales Data Analysis
Datasets & Resources
Lets Pre-process Data !
How to Fetch derived attributes from data..
Perform Descriptive analysis on Data..
Lets Explore Data !
Lets Define our own custom functions..
Analysing Relationship in Data !
Lets Perform Product-based Analysis
Analyse whether customer type influences the sales or not ?
Analysing Most favourite products of users..