07_Creating,_Altering,_and_Updating_Objects_Using_SQL_Part_01.zip
370.8 MB
07. Creating, Altering, and Updating Objects Using SQL - Part 01
07_Creating,_Altering,_and_Updating_Objects_Using_SQL_Part_02.zip
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07. Creating, Altering, and Updating Objects Using SQL - Part 02
07_Creating,_Altering,_and_Updating_Objects_Using_SQL_Part_03.zip
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07. Creating, Altering, and Updating Objects Using SQL - Part 03
07_Creating,_Altering,_and_Updating_Objects_Using_SQL_Part_04.zip
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07. Creating, Altering, and Updating Objects Using SQL - Part 04
07_Creating,_Altering,_and_Updating_Objects_Using_SQL_Part_05.zip
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07. Creating, Altering, and Updating Objects Using SQL - Part 05
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08. ADDITIONAL TOPICS - Part 01.zip
308.1 MB
08. ADDITIONAL TOPICS - Part 01
08. ADDITIONAL TOPICS - Part 02.zip
257.7 MB
08. ADDITIONAL TOPICS - Part 02
08. ADDITIONAL TOPICS - Part 03.zip
222 MB
08. ADDITIONAL TOPICS - Part 03
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09. Exam Question Walkthrough Videos - Part 01.zip
341.8 MB
09. Exam Question Walkthrough Videos - Part 01
09. Exam Question Walkthrough Videos - Part 02.zip
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09. Exam Question Walkthrough Videos - Part 02
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10. APPENDIX - Installing Oracle on Windows.zip
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10. APPENDIX - Installing Oracle on Windows
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Here are the most sought-after skills for data analytic roles:
💫 Technical Skills:
🔸 SQL: Mastering SQL is essential for querying and managing data stored in databases.
🔸 Spreadsheets: Tools like MS Excel and GoogleSheets are must-haves for performing calculations, data manipulation, and basic visualizations.
🔸 Programming Languages (Python, R, SAS): These are critical for advanced data analysis and visualization. Python and R are particularly popular due to their robust libraries and versatility.
🔸 Data Visualization: Learn to create impact dashboards and charts. Start with PowerBI (free) before exploring advanced tools.
🔸 Data Management: Develop proficiency in systems like MySQL PostgreSQL or SQLServer to securely and efficiently handle data.
🔸 Machine Learning (Optional): Familiarize yourself with algorithms like Linear Regression, Logistic Regression, and KNN if you’re exploring data science pathways.
💫 Soft Skills: Communication, Collaboration, Critical Thinking, Creativity
🔸 Write clear reports and presentations, collaborate effectively with teams, and explain technical insights in simple terms to stakeholders.
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🔅 MySQL for Data Analysis
🌐 Author: Ava Meredith
🔰 Level: Beginner
⏰ Duration: 54m
📗 Topics: MySQL
📤 Join Data Analysis for more courses
🌀 Learn quick tips and expert tricks on using MySQL to manipulate, aggregate, summarize, and analyze data more effectively.
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