Data Science

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📂 Full description Are you interested in pursuing a career in data analytics? In this course, instructor Robin Hunt brings you into the mind of an analyst. She defines and explains foundational concepts, such as how to think about data, how to work with others in different roles to get the data you need, and the tools you need to work with data, such as Excel and Microsoft Access. She introduces you to SQL queries, PowerBI, and more. Robin goes into syntax and explains how to interpret the data you see, find the data you need, and clean the data for effective data work. She explains data governance and how to ask the right questions of different departments to gather the data you need. Robin shows how to work with data, including how to import data, work with flat files such as CSVs, and create datasets for others. Robin goes into what cleaning and modeling mean, as well as how to use Power Query in Excel. She has also added challenge/solution sets in each chapter to help you evaluate your skills. This course is part of a Professional Certificate from Microsoft.

🔅 Learning Data Analytics: 1 Foundations 🌐 Author: Robin Hunt 🔰 Level: Beginner ⏰ Duration: 3h 29m

🌀 This course covers foundational data analysis skills such as thinking like an analyst, gathering useful data, SQL queries, data cleaning, and more. Are you ready to be an analyst?

📗 Topics: Data Analytics 📤 Join Data Analysis for more courses

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📖 Introduction to SQL

📖 Introduction to SQL

📖 Introduction to SQL

📖 Types of SQL commands

📂 Full description 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.

🔅 MySQL for Data Analysis 🌐 Author: Ava Meredith 🔰 Level: Beginner ⏰ Duration: 54m

🌀 Learn quick tips and expert tricks on using MySQL to manipulate, aggregate, summarize, and analyze data more effectively.

📗 Topics: MySQL 📤 Join Data Analysis for more courses

💡 Top Data Analytic Skills to Land a Job in 2025 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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📖 SQL aggregate functions