Data Analytics Real-World Projects in Python

Build Portfolio/Resume of 5 Data Analysis Projects with Pandas,Seaborn,Plotly etc in Python & get a job of Data Analyst

4.64 (1365 reviews)
Udemy
platform
English
language
IT Certification
category
instructor
86,051
students
7.5 hours
content
Jan 2024
last update
$79.99
regular price

What you will learn

Get a job as a data Analyst on an average $156,000 after showcase these Projects on your Resume

By the end of this course you will understand the inner workings of the data analytics pipeline -joining,manipulating,filtering, extracting data ,Analysing Data

Learn how to work with various data within python, including: Excel Data,Geographical data,Text Data and Time Series Data Data

Be able to create in depth analyses with Pie charts, Bubble charts, Wordcloud and even geographical maps.

you will expertise in Pandas ,Seaborn, Matplotlib ,Plotly ,Folium, Geopy, Wordcloud and many other..

Solve any problem in your business, job or in real-time with powerful data analysis libraries

Description

This is the first course that gives hands-on Data Analysis Projects using Python..


Student Testimonials:

  • Excellent Course for Data Analytics Real World Projects.. specially in Python. Recommended Course for those who want to start or transform their career in Data Analytics- Alokkumar Mahato


  • nice course, easy to understand lectures. Shan Singh was quick to respond to my questions too. i feel more confident compiling my portfolio now - Burutolu Q

  • I love how in 6 projects I went to 0 to 100% of knowledge of how to use some libraries and how to interpretate the results ! Also all my questions were answered ! Amazin course 110/100 - María Fernanda Villegas CascoU

  • The course was really helpful in learning data cleaning, data manipulation and data visualization. Newer library of plotly was something very new to me. while practizing with the dataset I got to know the pros of using plotly (simple, clear and interactive plots). Overall the coverage of the course with dataset from various industries and their problem set was very comprehensive and I think would match the industry scenario well. Also, I learned a whole new plethora of methods that are being called on class objects which I wasn't familiar with before taking this course.Thanks for your support in Q&A as well.- Abhishek Gajbhiye



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 Analytics Projects ? "

The clear answer is: "No!

  • You just require some Python Basics like data types, simple operations/operators, lists and numpy arrays that you can learn from my Free Python course 'Basics Of Python'

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


Why should you take this Course?

  • It explains Projects on  real Data and real-world Data Science/Data Analytics 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, Data Analytics , Machine Learning and Data Presentation.


  • Professionals who are exposed to data but can't yet leverage its power


  • Product managers who want to make data-driven decisions


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

  • In real-world Data Analytics 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 using various Data Visualisation

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


Content

Project 1->> Text Data Analysis

Overview of Problem Statement
Performing Sentiment Analysis
Wordcloud representation of Sentiments
Analyze Trending Tags and Views of Youtube
Perfrom Emoji's Analysis

Project 2->> Time Series Project

Overview of Problem Statement
Analyzing Closing Price of Stocks & Volume Trading
Analyzing Daily returns
Performing Multi-Variate Analysis
Value at risk Analysis

Project 4->> Sales Data Analysis

Overview of Problem Statement
Preparing Data for Analysis
Analyzing Monthly sales
Analyzing Maximum Order & hour analysis
Analysing Most sold Products

Project 5->> IPL Data Analysis

Overview of Problem Statement
In-depth analyis of DA Warner (Batsman) performance
Perform Analysis on Batsman-performance
Perform Batsman-Comparison
Perform Basic Analysis on IPL
Perform Analysis across Seasons of IPL
Comparitive Analysis of teams

Screenshots

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Reviews

Meghana
November 3, 2023
I really enjoyed watching this course your examples are accurate. Can you just clear me what are the step by step process for a data analyst in a real world? Thank yoiu
Partha
September 10, 2023
This was a very good experience for me. As I am new to python I wanted to see how and what sort of analysis is done using python. I have learned many new things which includes new packages/libraries, new techniques and many more through this course. Thank you so much.
Vijit
September 8, 2023
Very Helpful Projects ... Before taking the course, I used to fear projects in Python - But now I feel so much confident about going to the interviews: like nothing can stop me. Thank you sir - I'm forever grateful to you - couldn't find a project series like this on the internet. Hat's off!!!
Parinita
September 2, 2023
I am really enjoying this course, as it provides very practical applications of python frameworks and the explanations is to the point.
Vikash
August 22, 2023
Good explanation about analysis of dataset while explaining the new topics also in simple way that comes during course progress.
Prashanth
June 28, 2023
Great content and explanation, but depth of content should be improved. Q&A is responsive and informative
potla
March 17, 2023
the course is good,but it feels difficult for me,as i am beginner in data science,everything feels tough,i will try my best to acquire knowledge
Ammar
January 25, 2023
Good experience and great examples. The projects analyzed done in a variety of different ways with good understanding of using the commands. Main improvement is to explain more on commands as many advanced commands were used which one does not have experience on. In the course description it is not stated for experts but written basic knowledge is good to go but that was not the case in some examples.
Delfina
September 7, 2022
The teacher explains very well, the case studies are up to date and very practical. The course is great.
Burutolu
July 17, 2022
nice course, easy to understand lectures. Shan Singh was quick to respond to my questions too. i feel more confident compiling my portfolio now
Avinash
July 13, 2022
This course is for those who want to start there carrier in data analytics profile i will give 100/100 .
Bishal
June 2, 2022
So far its a good package for a beginner like me who is trying to learn more about data analytics using python and its libraries.
Kate
May 27, 2022
The instructor speaks too fast with heavy accent and some words are not clear, difficult to understand. Doesn't explain concepts enough and seems to assume the viewer already knows about the concepts. This course is definitely not for beginners! It's just a quick answer key. Not recommended
Utkrist
May 13, 2022
Very good course to brush up and learn more Data analytics skills. From creating charts to Data wrangling part i learned many things.
Karan
October 3, 2021
For beginner, this course is good. If you do not know python, you will learn some concepts with a little hardwork. I personally thank the instructor for making these end to end projects and providing help at each step of the course.

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3482694
udemy ID
9/7/2020
course created date
9/25/2020
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