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دسته بندی دوره ها

Data Analysis for Entry Level Job – ( 9 courses in 1 )

سرفصل های دوره

Python | Excel | SQL | PostgreSQL | Pandas | Numpy | Looker | Python for Data Visualization | oop | Beginner to Advanced


1. Introduction
  • 1. Hello
  • 2. Introduction
  • 3.1 Data Analysis Resourses.rar
  • 3. Resources.html
  • 4. Welcome

  • 2. Python Programming language
  • 1. Installation - Python
  • 2. Installation - VS Code
  • 3. Tour
  • 4. Setup and Hello World
  • 5. Drawing a Shape
  • 6. DataTypes
  • 7. Variables
  • 8. Strings
  • 9. Numbers
  • 10. Taking an Input
  • 11. Lists
  • 12. List_functions
  • 13. Tuples
  • 14. Dictionaries
  • 15. Functions
  • 16. Return Statement
  • 17. Operators
  • 18. If Statement
  • 19. If Statements & Comparisons
  • 20. While Loop
  • 21. For Loops
  • 22. Exponent Function
  • 23. 2D Lists & Nested Loops
  • 24. Comments
  • 25. Try & Except
  • 26. Reading Files
  • 27. Writing Files

  • 3. Oop
  • 1. Introduction
  • 2. What is oop
  • 3. Encapsulation
  • 4. Abstraction
  • 5. Inheritance
  • 6. Polymorphism

  • 4. Microsoft Excel
  • 1. MicroSoft Excel
  • 2. Customization
  • 3. Shortcuts
  • 4. Mathematics Operations
  • 5. Data Validation
  • 6. Filters
  • 7. Shorting
  • 8. Grouping
  • 9. Functions
  • 10. Minimum and Maximum Values
  • 11. Average
  • 12. Count
  • 13. Is Numeric Function
  • 14. RAND Function
  • 15. Round Function
  • 16. Median
  • 17. Power
  • 18. Left Right and Mid Function
  • 19. Find Function
  • 20. Date Function
  • 21. IF Condition
  • 22. IF ERROR Condition
  • 23. Nested IF Condition
  • 24. AND
  • 25. OR
  • 26. VLOOKUP
  • 27. Pivot Table
  • 28. Pie Chart
  • 29. Column Chart
  • 30. Line Chart
  • 31. Other Charts

  • 5. Reminder
  • 1. Reminder

  • 6. Advanced Excel
  • 1. Index and Match Function
  • 2. SUM IF Formula
  • 3. Sum Offset Formula
  • 4. IF AND CONDITION
  • 5. CONCATINATE
  • 6. PMT FORMULA
  • 7. TRIM FUNCTION
  • 8. CHOOSE FUNCTION
  • 9. XNPV Function
  • 10. XIRR Function
  • 11. COUNTA()
  • 12. FV Function
  • 13. RANDBETWEEN
  • 14. SMALL FUNCTION
  • 15. QUARITILE FUNCTION
  • 16. MACROS

  • 7. Pandas
  • 1. Data Description
  • 2. Importing the data
  • 3. Series
  • 4. Creating a DataFrame
  • 5. Homework
  • 6. Data Cleaning
  • 7. Mean Median Mode
  • 8. Empty cells
  • 9. Wrong Data
  • 10. Wrong Datatype
  • 11. Duplicates
  • 12. Correlation Introduction
  • 13. Correlation

  • 8. Numpy
  • 1. NumPy and its Applications
  • 2. Initializing an Array
  • 3. NumPy Datatypes
  • 4. AccessingChanging Specific Elements
  • 5. Initializing Different Arrays (1s, 0s, full, random, etc)
  • 6. Basic Mathematics
  • 7. Other Mathematical Functions.html
  • 8. Linear Algebra and Statistics
  • 9. Reorganizing Arrays
  • 10. Load data using NumPy
  • 11. Advanced Indexing and Boolean Masking

  • 9. Looker For Data Visualization
  • 1. Looker Introduction
  • 2. Key Features
  • 3. Sign Up
  • 4. Import Data
  • 5. Interface
  • 6. Templates
  • 7. Data Description
  • 8. Text
  • 9. Image
  • 10. Line and Arrows
  • 11. Shapes
  • 12. Table
  • 13. Scorecard
  • 14. Timeseries
  • 15. Bar Chart
  • 16. Pie Chart
  • 17. Google Map Charts
  • 18. Google Map Chart Heatmap
  • 19. Line Chart
  • 20. Line Chart 2
  • 21. Area Charts
  • 22. Scatter Plots
  • 23. Pivot Table
  • 24. Bullet Charts
  • 25. Tree Maps
  • 26. Gauge Plot
  • 27. Controls
  • 28. Themes and Layouts
  • 29. Filter
  • 30. Blending Data
  • 31. New Field and Formulas
  • 32. Share

  • 10. Seaborn - Data Visualization
  • 1. Importing the data
  • 2. DISPLOT
  • 3. Uses of distribution plot
  • 4. KDE introduction
  • 5. KDE Plot Part 1
  • 6. KDE Plot Part 2
  • 7. Scatter Plot
  • 8. Rug Plot
  • 9. Joint Plot
  • 10. Pair Plot
  • 11. Bar Plot
  • 12. Count Plot
  • 13. Box Plot
  • 14. Violin Plot
  • 15. Strip Plot
  • 16. Swarm Plot
  • 17. Heat Map
  • 18. Pair Grid
  • 19. Sub Plots

  • 11. PostgreSQL
  • 1. Installation
  • 2. Select Statement
  • 3. Creating a table
  • 4. Insert data into a table
  • 5. Alter data in a table
  • 6. Drop a column
  • 7. Drop a row
  • 8. Order by command
  • 9. Limit, Alias, Distinct
  • 10. WHERE, AND, OR, IN, BETWEEN
  • 11. Aggregate and Group by command

  • 12. Advanced PostgreSQL
  • 1. Create database and drop table
  • 2. Create table and Foreign Key
  • 3. Insert data
  • 4. Update using SET
  • 5. Delete Records
  • 6. Display Specific Columns
  • 7. Display Specific Rows
  • 8. ORDER BY - LIMIT
  • 9. WHERE - NOT
  • 10. BETWEEN
  • 11. Equal to, Not Equal to
  • 12. Nested Queries
  • 13. LIKE Condition
  • 14. DISTINCT
  • 15. Connect Two Tables
  • 16. JOINS
  • 17. EXCEPT
  • 18. Special Query

  • 13. Instagram clone Database
  • 1. Create Database and Users Table
  • 2. Phots Table
  • 3. Comment Table
  • 4. Like Table
  • 5. Follows Table
  • 6. Tags Table
  • 7. Photos Tags Table
  • 8. Insert Data
  • 9. Query 1
  • 10. Query 2
  • 11. Query 3
  • 12. Query 4
  • 13. Query 5
  • 14. Query 6
  • 15. Query 7
  • 16. Query 8
  • 17. Query 9

  • 14. Certificate
  • 1. Certificate
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