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Development Data Science Data Analysis

Data Analysis Real world use-cases- Hands on Python

Build a Portfolio of 5 Data Analysis Projects with Python, Seaborn, Pandas, Plotly, Folium, TextBlob ,Geopy & Many more
Rating: 4.3 out of 54.3 (120 ratings)
28,458 students
Created by Shan Singh
Last updated 3/2021
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

Course content

6 sections • 46 lectures • 6h 56m total length

  • Preview08:32
  • How to follow this course-Must Watch
    01:38
  • Installation of Anaconda Navigator
    02:53
  • Quick Summary of Jupyter Notebook
    05:47

  • Datasets & Resources
    00:01
  • Preview08:48
  • Preview07:33
  • Analysing Trips of Uber
    08:37
  • Analysing Monthly rides
    09:50
  • Analyzing Demand of Ubers
    08:20
  • Performing Cross Analysis
    11:50
  • Perform Spatial Analysis on Demand of Ubers
    15:20
  • Analysing Uber Pickups in Each month
    09:27
  • Analysing Rush in New york City
    07:53
  • Perform In-Depth Analysis of Uber Base Number
    10:21

  • Datasets & Resources
    00:01
  • Preparing our Data for Analysis
    08:48
  • Perform Spatial Analysis on Guests Home-Town
    13:29
  • How does price of hotel vary across year?
    14:46
  • Analysing Preference of Guests
    06:48
  • Analysing relationship between special requests and cancellation.
    06:51
  • Analysing most busy month
    09:44
  • Analysing more about Customers
    11:55
  • Analyse more about Data
    07:16

  • Datasets & Resources
    00:01
  • Prepare your Data for the Analysis
    07:35
  • Analysing Total cases, Deaths, Recovered & active cases
    10:51
  • Perform EDA on Data
    09:14
  • Analysing those countries that gets badly affected by Corona
    11:54
  • Perform In-depth Analysis on Data
    14:42
  • Automate Your Analysis
    12:50

  • Datasets & Resources
    00:01
  • Perfrom Descriptive Analysis on data
    09:47
  • Understanding Data & data-preprocessing
    12:12
  • Analyse Education Status of customers
    09:39
  • Analyse Account holder distribution
    07:26
  • Automate your Analysis
    14:34
  • Analyse Customers Behaviour on the basis of various attributes
    05:03
  • Perform Hypothesis on Data
    16:17

  • Datasets & Resources
    00:01
  • How to Read Data from SQLite Database.
    10:22
  • Perform Sentiment Analysis on Data.
    17:06
  • How Amazon recommend product
    13:31
  • Analyzing Feedback given by customers
    08:08
  • Prepare our data for Analysis
    15:43
  • Analyzing behaviour of customers
    12:32

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.


  • 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

Instructor

Shan Singh
Data Scientist
Shan Singh
  • 4.4 Instructor Rating
  • 1,340 Reviews
  • 126,814 Students
  • 10 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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