Data Analysts Toolbox: Excel, SQL, Python, Power BI, Tableau

سرفصل های دوره

Gain Real World Skills By Mastering Excel, SQL, Python, Power BI, and Tableau for Data Analysts

1. Introduction to Data Analysis

1. Introduction

2. Understanding the role of a data analyst.html

3. Overview of data analysis tools and their importance.html

4. Introduction to key concepts in data analysis.html

2. Excel for Data Analysis

1. Introduction to Excel for Data Analysis.html

2. Basic to advanced Excel functions and formulas.html

3. Hands-on Practice of Functions and Formulas

4. Using Formulas for Arithmetic Tasks

5. Re-using Formulas

6. Calculating YTD Profits

7. Calculating Percentage Change

8. Relative and Absolute Reference

9. Using RANK Function

10. STD Function

11. Small and Large Functions

12. Median Functions

13. COUNT and COUNTA Functions

14. What is Power Query

15.1 EV sales (King county).zip

15. Connecting to a data source

16. Please Read.html

17.1 Prep.xlsx

17. Preparing your query

18.1 Cleansing.xlsx

18. Cleansing data

19.1 Enhance.xlsx

19. Enhancing query

20. What is Power Pivot

21.1 PrepPP.xlsx

21. Creating a data model

22.1 AddData.xlsx

22. Importing data and creating relationships

23.1 Lookups.xlsx

23. Create lookups with DAX

24.1 Pivot.xlsx

24. Analyze data with Pivot Tables

25.1 Charts.xlsx

25. Analyze data with Pivot Charts

3. SQL Fundamentals

1. Introduction to SQL and its applications in data analysis.html

2. What is MySQL.html

3. MySQL Installation (Windows)

4. MySQL Installation (Mac)

5. What is MySQL Workbench

6. Installing MySQL Workbench ( Mac)

7. Database Concepts

8. What is a Schema

9. What is a Database Schema

10. MySQL Data Types

11. Exploring Basic SQL Commands

12. Showing existing databases

13. Showing lists of tables

14. Create a table

15. Displaying table structure

16. Changing table structure

17. Creating MySQL Database

18.1 table+create+script.zip

18. Creating MySQL Table

19. Setting a default database

20. Primary Keys

21. Foreign Keys

22. SQL & MySQL SELECT Statement

23.1 insert+data+into+tables.zip

23. SQL & MySQL INSERT Statement

24. SQL & MySQL UPDATE Statement

25. SQL & MySQL DELETE Statement

26. Introduction to Joins.html

27. INNER JOIN

28. LEFT JOIN

29. RIGHT JOIN

30. SELF JOIN

31. What is sub query

32. Nested sub query

33. Filtering data with WHERE Clause

34. Sorting data with ORDER BY Clause

35. Grouping data with GROUP BY Clause

36. What are aggregate functions

37. AVG Aggregate Function

38. COUNT Aggregate Function

39. SUM Aggregate Function

40. MIN Aggregate Function

41. MAX Aggregate Function

4. Data Analysis with Python and Jupyter Notebook

1. What is Python.html

2. Using Python in Data Analysis.html

3. What is Jupyter Notebook.html

4. Installing Jupyter Notebook Server

5. Running Jupyter Notebook Server

6. Jupyter Notebook Components

7. Jupyter Notebook Dashboard

8. Jupyter Notebook User Interface

9. Creating a new notebook

10. Kaggle Data Sets

11.1 us_baby_names.zip

11. Tabular Data

12. what is Pandas DataFrame.html

13. Exploring Pandas DataFrame

14. Manipulating a Pandas DataFrame

15. What is data cleaning

16.1 crime_boston.zip

16. Basic data cleaning process

17.1 listings.zip

17. What is data visualization

18. Visualizing Qualitative Data

19. Visualizing Quantitative Data

5. Data Analysis with Power BI

1. What is Power BI.html

2. What is Power BI Desktop

3. Installing Power BI Desktop

4. Exploring Power BI Desktop

5.1 Financial+Sample.xlsx

5. Power BI Overview Part 1

6. Power BI Overview Part 2

7. Power BI Overview Part 3

8. Components of Power BI

9. Building Blocks of Power BI

10. Explore Power BI Service

11. Connect to web data

12. Clean and transform data Part 1

13. Clean and transform data Part 2

14. Combining Data Sources

15. Visualizing Data Part 1

16. Visualizing Data Part 2

17. Publishing Reports to Power BI Service

6. Data Analysis with Tableau

1. What is Tableau.html

2. Using Tableau for Data Analysis.html

3. Tableau Public Desktop

4.1 World_Bank_CO2.xlsx

4. Tableau Public Desktop Overview Part 1

5. Tableau Public Desktop Overview Part 2

6. Tableau Online

7. Tableau Data Sources

8.1 SampleData.xlsx

8. Connecting to data source

9.1 JoinExamples.xlsx

9. Join related data sources

10.1 DifferentNames.xlsx

10. Join data sources with inconsistent fields

11.1 CleanData.xlsx

11. Data cleaning

12. Tableau Interface

13. Reordering Visualization

14. Change summary

15.1 split.zip

15. Split text into multiple columns

16.1 storylines.zip

16. Presenting data using stories

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تولید کننده: Udemy