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
295.8 MB
07. Creating, Altering, and Updating Objects Using SQL - Part 02
07_Creating,_Altering,_and_Updating_Objects_Using_SQL_Part_03.zip
369.9 MB
07. Creating, Altering, and Updating Objects Using SQL - Part 03
07_Creating,_Altering,_and_Updating_Objects_Using_SQL_Part_04.zip
290.8 MB
07. Creating, Altering, and Updating Objects Using SQL - Part 04
07_Creating,_Altering,_and_Updating_Objects_Using_SQL_Part_05.zip
339.4 MB
07. Creating, Altering, and Updating Objects Using SQL - Part 05
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
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
210.7 MB
09. Exam Question Walkthrough Videos - Part 02
10. APPENDIX - Installing Oracle on Windows.zip
171.8 MB
10. APPENDIX - Installing Oracle on Windows
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Here are the most sought-after skills for data analytic roles:
π« Technical Skills:
πΈ SQL: Mastering SQL is essential for querying and managing data stored in databases.
πΈ Spreadsheets: Tools like MS Excel and GoogleSheets are must-haves for performing calculations, data manipulation, and basic visualizations.
πΈ 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.
πΈ Data Visualization: Learn to create impact dashboards and charts. Start with PowerBI (free) before exploring advanced tools.
πΈ Data Management: Develop proficiency in systems like MySQL PostgreSQL or SQLServer to securely and efficiently handle data.
πΈ Machine Learning (Optional): Familiarize yourself with algorithms like Linear Regression, Logistic Regression, and KNN if youβre exploring data science pathways.
π« Soft Skills: Communication, Collaboration, Critical Thinking, Creativity
πΈ Write clear reports and presentations, collaborate effectively with teams, and explain technical insights in simple terms to stakeholders.
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π
MySQL for Data Analysis
π Author: Ava Meredith
π° Level: Beginner
β° Duration: 54m
π Topics: MySQL
π€ Join Data Analysis for more courses
π Learn quick tips and expert tricks on using MySQL to manipulate, aggregate, summarize, and analyze data more effectively.
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