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Data Analytics: Beginner to Expert


Instructor led best course to learn Data analytics from beginning to expert level. It includes ETL, statistical analysis, data visualization, SQL and many more.

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4.7

Rating

25 Hrs

Duration

Beginner

Level

20

Assignments

What you'll learn

Who should take this course

Skills you'll gain

Course contents

  • How to use excel to perform data tasks
  • Assignments
  • Sampling types
  • Central tendency
  • Measure of spread and position
  • Skewness
  • Probability
  • Case study: KPI reports
  • Simple to advance data visualization techniques
  • Case study on data story telling
  • Sampling
  • Confidence Interval
  • Hypothesis testing
  • Comparison test
  • Correlation test
  • Case study: Does a Job-Training Program Increase Wages
  • Understand data
  • Data cleaning
  • Identify patterns and relationships
  • Spot anomalies
  • Case study: On customer purchase data by retail company
  • Introduction to SQL and RDMS
  • Data extraction using excel
  • Data manipulation
  • How to export data from sql database
  • Assignments
  • Introduction to python
  • Python's data structure
  • Conditional statement and loops
  • How to use python for statistical analysis
  • How to use python for data visualization
  • Assignments
  • How to extract data from csv, text, excel, pdf, word and Json files using python
  • How to connect to RDMS and extract data in real time using python
  • Difference between report and dashboards
  • How to create dashboard in excel
  • How to create dashboard in python
  • Case study: Sales and financial dashboard of online seller
  • What is a data pileline
  • How to create a data pipeline in python
  • Case study: Creating a real time dashboard for stock market analysis
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