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2021-02-15 12:19:50
30-Day Money-Back Guarantee
IT & Software IT Certification Data Analysis

Data Analytics Real-World Projects in Python

Build a Portfolio of 5 Data Analysis Projects with Plotly,Folium,TextBlob,Geopy & Many more & get a job of Data Analyst
Bestseller
Rating: 4.3 out of 54.3 (195 ratings)
36,672 students
Created by Shan Singh
Last updated 2/2021
English
English [Auto]
30-Day Money-Back Guarantee

What you'll 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..

Requirements

  • You will need to install Anaconda. We will show you how to do it in one of the first lectures of the course

Description

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



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 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 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 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.


  • 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 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.


Who this course is for:

  • Everyone who want to step into Data Science/Data Analytics.
  • Anyone interested about the rapidly expanding world of data Analytics/Data Science
  • Everyone who want to switch Data Projects from Excel to Python (e.g. in Research/Science)
  • Data Scientists who want to improve their Data Handling/Manipulation/Analysis skills.

Course content

6 sections • 39 lectures • 6h 18m total length

  • Preview04:05
  • Preview01:56
  • Pre-requisites (Anaconda Python & Jupter install & Set-up)
    02:12

  • Preview01:45
  • Download Dataset & Notebook
    00:02
  • Performing Sentiment Analysis
    08:13
  • Preview08:08
  • Analyze Trending Tags and Views of Youtube
    11:55
  • Perform Emoji's Analysis
    14:49

  • Preview01:27
  • Download Dataset & Notebook
    00:01
  • Analyzing Closing Price of Stocks & Volume Trading
    15:42
  • Preview12:19
  • Performing Multi-Variate Analysis
    09:02
  • Value at risk Analysis
    11:33

  • Overview of Problem Statement
    02:43
  • Download Dataset & Notebook
    00:01
  • Data Pre-processing For Analysis
    11:11
  • In-depth analyis of Restaurant
    14:11
  • Analysing Most famous Restaurant
    18:39
  • Analysing Price of Restaurant
    16:43
  • Analysing insights from Restaurant Pattern
    09:00
  • Perform Spatial Analysis
    13:26
  • Perform Spatial Analysis Part2
    21:55
  • Analyzing Most Popular cuisines
    18:35

  • Preview02:02
  • Download Dataset & Notebook
    00:01
  • Preparing Data for Analysis
    07:28
  • Analyzing Monthly sales
    12:52
  • Analyzing Maximum Order & hour analysis
    10:40
  • Analysing Most sold Products
    16:05

  • Preview01:42
  • Download Dataset & Notebook
    00:01
  • In-depth analyis of DA Warner (Batsman) performance
    14:35
  • Perform Analysis on Batsman-performance
    15:48
  • Perform Batsman-Comparison
    20:44
  • Perform Basic Analysis on IPL
    10:39
  • Perform Analysis across Seasons of IPL
    16:46
  • Comparitive Analysis of teams
    19:10

Instructor

Shan Singh
Data Scientist
Shan Singh
  • 4.3 Instructor Rating
  • 710 Reviews
  • 85,788 Students
  • 9 Courses

Professionally, I am a Data Scientist having experience of 6 years in finance, retail and transport.From my courses you will straight away notice how I combine my own experience to deliver content in a easiest fashion. To sum up, I am absolutely passionate about Data Analytics and I am looking forward to sharing my own knowledge with you!

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