Udemy - Data Analyst- Business Intelligence Python Pandas SQL

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Udemy - Data Analyst- Business Intelligence Python Pandas SQL (Size: 3.4 GB)
  1. Changing Locale.mp4 10.6 MB
  1. Changing Locale.srt 1.9 KB
  1. Connecting to web based Data.mp4 26.7 MB
  1. Connecting to web based Data.srt 5.2 KB
  1. Introduction.mp4 1.5 MB
  1. Introduction.srt 614.4 B
  1. Using Kaggle Data Sets.mp4 26.3 MB
  1. Using Kaggle Data Sets.srt 3.9 KB
  1. What is Data Modelling.mp4 2.1 MB
  1. What is Data Modelling.srt 614.4 B
  1. What is Python.mp4 16.8 MB
  1. What is Python.srt 4.7 KB
  1. What is SQL Server.mp4 11.2 MB
  1. What is SQL Server.srt 2.6 KB
  1. What is SQL.mp4 14.9 MB
  1. What is SQL.srt 3.1 KB
  10. Connecting to PostgreSQL Database Server.mp4 20.7 MB
  10. Connecting to PostgreSQL Database Server.srt 7.6 KB
  10. Creating Conditional Columns.mp4 46.3 MB
  10. Creating Conditional Columns.srt 6.7 KB
  10. Power BI Overview Part 3.mp4 41.1 MB
  10. Power BI Overview Part 3.srt 5.7 KB
  10. Using AND Operator.mp4 38.7 MB
  10. Using AND Operator.srt 7.4 KB
  11. Components of Power BI.mp4 8.6 MB
  11. Components of Power BI.srt 2.4 KB
  11. Connecting to Files in a Folder.mp4 47.1 MB
  11. Connecting to Files in a Folder.srt 8.4 KB
  11. Download Sample Database.mp4 47 MB
  11. Download Sample Database.srt 9.9 KB
  11. Using Combined OR AND Operators.mp4 51.8 MB
  11. Using Combined OR AND Operators.srt 8.5 KB
  12. Appending Queries.mp4 45.6 MB
  12. Appending Queries.srt 7.7 KB
  12. Building blocks of Power BI.mp4 42.4 MB
  12. Building blocks of Power BI.srt 6 KB
  12. Connect to PostgreSQL Database Server with Power BI - Part 1.mp4 16.6 MB
  12. Connect to PostgreSQL Database Server with Power BI - Part 1.srt 4.2 KB
  12. Using Between Operator.mp4 49.4 MB
  12. Using Between Operator.srt 9.4 KB
  13. Connect to PostgreSQL Database Server with Power BI - Part 2.mp4 26.8 MB
  13. Connect to PostgreSQL Database Server with Power BI - Part 2.srt 5.7 KB
  13. Exploring Power BI Desktop Interface.mp4 30.6 MB
  13. Exploring Power BI Desktop Interface.srt 7.1 KB
  13. Merging Queries.mp4 36.8 MB
  13. Merging Queries.srt 6.1 KB
  13. Using NOT Between Operator.mp4 28.5 MB
  13. Using NOT Between Operator.srt 5.6 KB
  14. Exploring Power BI Service.mp4 22.2 MB
  14. Exploring Power BI Service.srt 5.1 KB
  14. Import & transform data from access database file.mp4 79.2 MB
  14. Import & transform data from access database file.srt 15.2 KB
  14. Query Dependency View.mp4 28.8 MB
  14. Query Dependency View.srt 4.5 KB
  14. Using NOT Operator.mp4 31 MB
  14. Using NOT Operator.srt 6.2 KB
  15. Transform Less Structured Data - Part 1.mp4 55.1 MB
  15. Transform Less Structured Data - Part 1.srt 10.9 KB
  15. Using LIMIT Operator.mp4 46.1 MB
  15. Using LIMIT Operator.srt 10.6 KB
  15. What are Power BI Apps.mp4 22.5 MB
  15. What are Power BI Apps.srt 4 KB
  16. Analytic Functions.mp4 17 MB
  16. Analytic Functions.srt 5.6 KB
  16. Transform Less Structured Data - Part 2.mp4 59.3 MB
  16. Transform Less Structured Data - Part 2.srt 11.7 KB
  17. Creating Tables.mp4 35.4 MB
  17. Creating Tables.srt 7.4 KB
  18. Query Parameters.mp4 49 MB
  18. Query Parameters.srt 10.4 KB
  18. Using AVG Windows Function.mp4 22.9 MB
  18. Using AVG Windows Function.srt 3.9 KB
  19. Using ROW Number Functions.mp4 44.7 MB
  19. Using ROW Number Functions.srt 8.8 KB
  2. Basic Database Concepts.mp4 40.7 MB
  2. Basic Database Concepts.srt 8.7 KB
  2. Clean and transform data - Part 1.mp4 37.8 MB
  2. Clean and transform data - Part 1.srt 6.7 KB
  2. Connecting to Microsoft Access Database File.mp4 38.8 MB
  2. Connecting to Microsoft Access Database File.srt 7.8 KB
  2. Creating & Managing Data Relationships.mp4 56.9 MB
  2. Creating & Managing Data Relationships.srt 13.2 KB
  2. Download SQL server.mp4 23.2 MB
  2. Download SQL server.srt 5.3 KB
  2. Tabular Data.mp4 28.9 MB
  2. Tabular Data.srt 7.5 KB
  2. What is Jupyter Notebook.mp4 4.6 MB
  2. What is Jupyter Notebook.srt 1.1 KB
  2. What is Power BI.mp4 35.4 MB
  2. What is Power BI.srt 5.3 KB
  20. Using RANK functions.mp4 16.4 MB
  20. Using RANK functions.srt 2.8 KB
  21. Using DENSE RANK Functions.mp4 14 MB
  21. Using DENSE RANK Functions.srt 3.2 KB
  22. Using FIRST VALUE Function.mp4 11.9 MB
  22. Using FIRST VALUE Function.srt 2.3 KB
  23. Using LAST VALUE Function.mp4 20.6 MB
  23. Using LAST VALUE Function.srt 3.3 KB
  24. Using LAG Function.mp4 14.3 MB
  24. Using LAG Function.srt 3.1 KB
  25. Using LEAD Function.mp4 15.8 MB
  25. Using LEAD Function.srt 3.1 KB
  3. Clean and transform data - Part 2.mp4 78 MB
  3. Clean and transform data - Part 2.srt 11.1 KB
  3. Creating Calculated Column.mp4 60 MB
  3. Creating Calculated Column.srt 11.7 KB
  3. Exploring Pandas DataFrame.mp4 10.3 MB
  3. Exploring Pandas DataFrame.srt 2.2 KB
  3. Install SQL Server.mp4 62.5 MB
  3. Install SQL Server.srt 11.8 KB
  3. Installing Jupyter Notebook Server.mp4 30.5 MB
  3. Installing Jupyter Notebook Server.srt 7.7 KB
  3. Installing Office 365.mp4 38.1 MB
  3. Installing Office 365.srt 8.4 KB
  3. Power Query Editor and Queries.mp4 40.6 MB
  3. Power Query Editor and Queries.srt 6.9 KB
  3. Query all data from a table.mp4 34.8 MB
  3. Query all data from a table.srt 7.5 KB
  4. Combining Data Sources.mp4 44.2 MB
  4. Combining Data Sources.srt 8 KB
  4. Creating and Managing Query Groups.mp4 27.3 MB
  4. Creating and Managing Query Groups.srt 5.1 KB
  4. Download Sample Database.mp4 32.6 MB
  4. Download Sample Database.srt 7 KB
  4. Manipulating Pandas DataFrame.mp4 53.4 MB
  4. Manipulating Pandas DataFrame.srt 12.2 KB
  4. Optimizing Models for Reporting.mp4 43.3 MB
  4. Optimizing Models for Reporting.srt 8 KB
  4. Query data from specific columns in a table.mp4 31.7 MB
  4. Query data from specific columns in a table.srt 8.3 KB
  4. Running Jupyter Notebook.mp4 42.3 MB
  4. Running Jupyter Notebook.srt 9.9 KB
  4. What is Power BI.mp4 35.3 MB
  4. What is Power BI.srt 5.3 KB
  5. Creating visuals in Power BI - Part 1.mp4 29.9 MB
  5. Creating visuals in Power BI - Part 1.srt 6.2 KB
  5. Filtering Data.mp4 45.2 MB
  5. Filtering Data.srt 7.2 KB
  5. Install SSMS.mp4 36.8 MB
  5. Install SSMS.srt 5.8 KB
  5. Jupyter Notebook Commands.mp4 28.5 MB
  5. Jupyter Notebook Commands.srt 7.6 KB
  5. Optimizing Models for Reporting Part 2.mp4 38.8 MB
  5. Optimizing Models for Reporting Part 2.srt 7.9 KB
  5. Power Desktop.mp4 11.7 MB
  5. Power Desktop.srt 3.3 KB
  5. Renaming Queries.mp4 32.3 MB
  5. Renaming Queries.srt 5.3 KB
  5. What is data cleaning.mp4 10.1 MB
  5. What is data cleaning.srt 3.1 KB
  6. Connect SSMS to SQL Server Database.mp4 32.4 MB
  6. Connect SSMS to SQL Server Database.srt 9 KB
  6. Creating visuals in Power BI - Part 2.mp4 35.3 MB
  6. Creating visuals in Power BI - Part 2.srt 6.1 KB
  6. Implementing Data Cleaning.mp4 118.1 MB
  6. Implementing Data Cleaning.srt 19.3 KB
  6. Installing Power BI Desktop.mp4 37.4 MB
  6. Installing Power BI Desktop.srt 8.2 KB
  6. Jupyter Notebook Components.mp4 21.9 MB
  6. Jupyter Notebook Components.srt 4.4 KB
  6. Sorting Data.mp4 40.4 MB
  6. Sorting Data.srt 9.2 KB
  6. Splitting Columns.mp4 41.1 MB
  6. Splitting Columns.srt 6.5 KB
  6. Time Intelligence.mp4 24.6 MB
  6. Time Intelligence.srt 4.6 KB
  7. Applying Filters on Visuals.mp4 15.9 MB
  7. Applying Filters on Visuals.srt 3.5 KB
  7. Changing Data Types.mp4 38.5 MB
  7. Changing Data Types.srt 6.3 KB
  7. Connect Power BI to SQL Server.mp4 40.2 MB
  7. Connect Power BI to SQL Server.srt 8.5 KB
  7. Jupyter Notebook Dashboard.mp4 21.8 MB
  7. Jupyter Notebook Dashboard.srt 5.2 KB
  7. Power BI Desktop Tour.mp4 37.4 MB
  7. Power BI Desktop Tour.srt 7.2 KB
  7. Publishing Report To Power BI Service.mp4 29.7 MB
  7. Publishing Report To Power BI Service.srt 5.3 KB
  7. Sub Queries.mp4 42.5 MB
  7. Sub Queries.srt 8.4 KB
  7. What is Data Visualization.mp4 14.2 MB
  7. What is Data Visualization.srt 2.4 KB
  8. Jupyter Notebook User Interface.mp4 16.6 MB
  8. Jupyter Notebook User Interface.srt 6.4 KB
  8. Power BI Overview Part 1.mp4 23.1 MB
  8. Power BI Overview Part 1.srt 5.3 KB
  8. Qualitative Data Visualization.mp4 49.6 MB
  8. Qualitative Data Visualization.srt 12.3 KB
  8. Removing and Reordering Columns.mp4 51.6 MB
  8. Removing and Reordering Columns.srt 7.3 KB
  8. Using Comparison Operators.mp4 62.1 MB
  8. Using Comparison Operators.srt 9.9 KB
  8. What is PostgreSQL.mp4 12.7 MB
  8. What is PostgreSQL.srt 3.5 KB
  9. Create a new Jupyter Notebook.mp4 20.5 MB
  9. Create a new Jupyter Notebook.srt 7.6 KB
  9. Duplicating and Adding Columns.mp4 24.4 MB
  9. Duplicating and Adding Columns.srt 4 KB
  9. Install PostgreSQL.mp4 45.3 MB
  9. Install PostgreSQL.srt 10.1 KB
  9. Power BI Overview Part 2.mp4 25.9 MB
  9. Power BI Overview Part 2.srt 4.8 KB
  9. Quantitative Data Visualization.mp4 62.7 MB
  9. Quantitative Data Visualization.srt 13.2 KB
  9. Using OR Operator.mp4 34.9 MB
  9. Using OR Operator.srt 6.5 KB
  Bonus Resources.txt 307.2 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 210 total files

Description


Data Analyst- | Business Intelligence | Python | Pandas |SQL
https://CoursePig.com

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.41 GB | Duration: 11h 7m
Data Analysis | Data Manipulation | Data Visualization
What you'll learn
Data Querying
Data manipulation
Data Visualisation
Data Cleansing
Data Transformation

Description
The data analyst serves as a gatekeeper for an organization's data so stakeholders can understand data and use it to make strategic business decisions.

Business intelligence (BI) helps organizations analyze historical and current data, so they can quickly uncover actionable insights for making strategic decisions. Business intelligence tools make this possible by processing large data sets across multiple sources and presenting findings in visual formats that are easy to understand and share.

There are four keys steps that business intelligence follows to transform raw data into easy-to-digest insights for everyone in the organization to use. The first three—data collection, analysis, and visualization—set the stage for the final decision-making step. Before using BI, businesses had to do much of their analysis manually, but BI tools automate many of the processes and save companies time and effort.

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