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
❤5🔥2
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
❤8🔥2🤔1
10. APPENDIX - Installing Oracle on Windows.zip
171.8 MB
10. APPENDIX - Installing Oracle on Windows
❤11🔥4👍1
Please open Telegram to view this post
VIEW IN TELEGRAM
❤27👍9😁3🤨2👏1
Please open Telegram to view this post
VIEW IN TELEGRAM
❤19👏17👍8✍1
Please open Telegram to view this post
VIEW IN TELEGRAM
❤24👍8👌1
Please open Telegram to view this post
VIEW IN TELEGRAM
Please open Telegram to view this post
VIEW IN TELEGRAM
❤23👍8👎2👏2
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.
Please open Telegram to view this post
VIEW IN TELEGRAM
❤28👍6🔥4
🔅 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.
Please open Telegram to view this post
VIEW IN TELEGRAM
❤17👎1
You dont need to wield high-level tools to start interacting with your data now. With a basic knowledge of MySQL, youre just about ready to go. In this course, instructor Ava Meredith shows you how to use the MySQL database to manipulate, aggregate, summarize, and analyze data more effectively.Find out how to get the most out of MySQL from a power user by learning how to retrieve data, join tables, and write subqueries and complex queries. Explore aggregate, numeric, string, and date and time functions, as well as other built-in functions to work with different data types. Get quick tips and expert tricks on best practices for navigating within the database, building up your skill set as a data analyst, and taking your productivity to the next level.
Please open Telegram to view this post
VIEW IN TELEGRAM
❤16👍1
Please open Telegram to view this post
VIEW IN TELEGRAM
Please open Telegram to view this post
VIEW IN TELEGRAM
❤31👍3