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Learn 4 groups of skills for world-class data analysis -- MS Excel, Statistics, MySQL and Power BI in one course.

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Data Analyst’s Toolbox: Excel to MySQL

 

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What you’ll learn
  • Get 4 groups of skills that needs each data analyst
  • Learn MS Excel for cleaning, preparing, calculating and analysing data
  • Learn Statistics by Data Analysis ToolPak including Linear regression
  • Learn SQL from scratch for extracting and manipulating big data by MySQL Workbench
  • Learn Power BI for analysing and visualizing data and creating interactive dashboards
  • Put all 4 groups of skills together for identifying insights and trends based on data
 
Requirements
  • Only the passion for data
  • MS Excel 2010, 2013, 2016, 2019
  • Other softwares used in this course are open sources
 
Description
 

<<LIMITED TIME OFFER: Enroll to this course for only $9.99 by using “DATATOOLS2019” coupon code for access to full course and the certificate>>

Use Excel, Statistics, SQL, and Power BI to identify trends and drive business decisions with real‐world data.

 

1. MS Excel:

     Unlock the power of MS Excel to utilize its analytical tools — no matter your experience level.

     Execute conditional aggregation commands (SUBTOTAL, SUMIFS, COUNTIFS, etc.) to summarize data sets.

     Practice applying the PivotTable tool for data analysis of a sample business case.

     Use the VLOOKUP, INDEX and MATCH functions to manipulate data sets in MS Excel.

 

2. Statistics

     Understand the value of descriptive and inferential statistics.

     Learn to describe data using its mean, median, mode, range, and variance.

     Practice applying statistical functions in MS Excel.

     Create Linear regression Model by using Data Analysis ToolPak in MS Excel.

 

3. MySQL

     Filter data using advanced SQL commands (Where, Group By, Having, Order By, Limit).

     Obtain data by creating relationships between tables using Joins.

     Summarize data sets by employing aggregation commands (“Sum,” “Average,” “Count,” etc.).

     Use CASE statements to structure data and create new attributes.

 

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