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IT & Software IT Certification Data Science

Data Analysis using Python and R for Absolute Beginners

Learn to write code in Python and R for Data Science. Learn art of Data Analysis and Visualizations with 8 case studies
Rating: 4.3 out of 54.3 (21 ratings)
1,918 students
Created by Piyush S | insightEdge100.com
Last updated 11/2020
English
30-Day Money-Back Guarantee

What you'll learn

  • Start Data Science python and R programming professionally .
  • Start using powerful Python libraries used in Data Science project Pandas , NumPy with Python
  • Start using powerful ggplot libraries used in Data Science project in R
  • Extract data from various websites,twitter, pdf files, csv and RDBMS databases
  • Start doing the extrapolatory data analysis ( EDA) on any kind of data and start making the meaningful business decisions
  • Start making visualisations charts - bar chart , box plots which will give the meaningful insights
  • Learn the art of doing EDA on excel
  • Integrate SQL with python and R programming
  • Solve the real world problem with the case studies
  • And Probably start applying for the best job in the world
  • Do hands on 8 - real world case studies like Covid19, Bank Marketing, Investment , Uber Demand Supply

Requirements

  • Students must be passionate about Data
  • Good to have High school level math skills
  • Desktop computer/ laptop for installing software for Python and R

Description

***Testimonials***

"Great course for beginners "   - George Castro

"Yes this is the course I was looking , instructor goes in detail of each concept followed programming.looking forward to complete" - Srini R


**** Lifetime access to course materials . Udemy offers a 30-day refund guarantee for all courses ****

The course is packed with real life projects examples

  1. Get Transformed from Beginner to Expert .

  2. Become expert in using Python Pandas,NumPy libraries ( the most in-demand )

  3. Become expert in R programming.

  4. Source Codes are provided for each session in Python so that you can practise along with the lectures..

  5. Start doing the extrapolatory data analysis ( EDA) on any kind of data and start making the meaningful business decisions

  6. Start python and R programming professionally

  7. Extract data from various sources like websites, pdf files, csv and RDBMS databas

  8. Start using the highest in-demand libraries used in Data Science / Data Analysis project : Pandas , NumPy  ,ggplot

  9. Start making visualizations charts - bar chart , box plots which will give the meaningful insights

  10. Learn the art of Data Analysis , Visualizations for Data Science Projects

  11. Learn to play with SQL on R and Python Console.

  12. Integrate RDBMS database with R and Python

Real world Case Studies Include the analysis from the following datasets

1. Melbourne Real Estate ( Python )

2. Market fact data.( Python )

3. Car Datasets( Python )

4. Covid 19 Datasets( Python )

5. Uber Demand Supply Gap ( R )

6. Bank Marketing datasets ( R )

7. Investment Case Study (Excel)

8. Market fact data.( SQL)


Who this course is for:

  • Looking to change career into Data Science field
  • Beginner who are passionate about Data

Course content

20 sections • 131 lectures • 12h 31m total length

  • Preview02:38
  • Preview04:40

  • Installation of Developer Environment -Anaconda & Jupyter
    05:47
  • Crash Course -1 : Python Basic Program
    11:01
  • Crash Course -2 : Python Basic Program
    08:22
  • Python Basics
    4 questions

  • Introduction to Python List
    01:48
  • Understanding Python List
    08:17
  • Introduction to Tuples
    01:29
  • Understanding Tuples
    03:42
  • Python List and Tuples
    5 questions
  • Introduction to Dictionary
    01:47
  • Understanding Dictionary
    06:45
  • Dictionary
    2 questions
  • Python Sets
    02:33

  • Preview06:08
  • Testing you Decision Making Skills (If elif If )
    2 questions
  • Preview02:13
  • Understanding For and While Loop
    08:35
  • Python Comprehensions-Intro
    00:59
  • Comprehension ; Loops in List,Dictionary
    04:21
  • Preview01:43
  • Understanding Python Function
    05:58
  • Map,Reduce,Filter -Introduction
    01:03
  • Map,Reduce ,Filter -Using Lambda Functions
    07:40
  • Assignment-Map Reduce Filter
    6 questions

  • Preview01:27
  • Basics of NumPy
    05:56
  • Structures and Contents of Arrays
    06:22
  • Slice and Dice
    10:02
  • NumPy Arrays-Operations
    08:36

  • Preview01:11
  • Pandas- Series and Dataframes
    09:10
  • Pandas- File upload and DATA Analysis
    09:32
  • Indexing Dataframe
    09:29
  • Merging Dataframes and Arithmetics
    07:42
  • Summarising , Group by ,Pivoting
    10:22

  • Intro to Data Extraction
    13:40
  • Reading Delimited files and RDBMS data
    05:31
  • Scrapping Websites
    06:59

  • Preview01:22
  • Imputing Missing Values Techniques - Melbourne Real Estate Data-1
    11:58
  • Imputing Missing Value - Melbourne Real Estate Data-2
    05:08

  • Preview00:50
  • Types of Plots
    05:18
  • Matplotlib Basics
    06:23
  • Matplotlib-Marketing Data Plots ( Boxplots,Histograms,Scatter)
    05:05
  • Searborn-Basics - Beautify the plots ( Boxplots,histograms,scatter )
    07:01
  • Seaborn-Correlation Matrix
    02:20
  • Aggregators Plots ( Bi-variate Analysis ) - Bar Charts , Boxplots , Histograms
    07:43
  • Timeseries Plots - Heatmap Plots
    05:19

  • Understanding Data and uploading
    05:54
  • Data Manipulation and Analysis-1
    10:22
  • Data Manipulation and Analysis-2
    08:18
  • Data Cleaning
    09:49
  • PPT Presentation to Business Users for Data Insights
    02:48

Instructor

Piyush S | insightEdge100.com
Data Scientist | Data Engineer | Project Manager
Piyush S | insightEdge100.com
  • 4.1 Instructor Rating
  • 149 Reviews
  • 9,241 Students
  • 6 Courses

"PG in Data Science ( IIIT Bangalore) , PMP  ( Project Management Institute,USA), CAPM , B.Tech ( Electronics)"

I have over 12+ years of industry experience in Python , R and SQL .

Have worked across various international finance companies including Insurance & Banking. I been instrumental in implementing the various software products .

I am passionate about data and the insights which it gives. I am looking forward to share my experiences with you .  I will guide you step by step so that you can make a leap in your career . The Data Engineers and Data Science experts have the highest demand in the world.

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