📊 Data Analytics Starter Kit
Welcome to the Hack the Gap Starter Kit for Data Analytics! This guide is for current and future Data Analyst professionals, organizations and individuals who generally want to learn about Data Analysis practices.
📖 Background
Data analytics is the process of examining data sets to draw conclusions about the information they contain, typically with the goal of uncovering insights, trends, and patterns to inform decision-making and drive business strategy. A data analyst career presents a variety of job opportunities, stimulating challenges, and opportunities for growth in a field that is in high demand.
📌 Get Started
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Free Data Analytics Short Course: Coursera’s short courses on data analytics offered by various universities and institutions.
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Data Analysis Courses | Harvard University: Harvard University offers online courses on data analysis covering topics such as statistical inference, machine learning, and data visualization.
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Google Data Analytics Certificate - YouTube: Explore Google's Data Analytics Certificate program on YouTube for insights into key concepts and skills in data analysis.
You don’t know where to start, and you have curiosity in data analytics? Check out these resources to get started:
🌱 Grow Your Skills
Develop your knowledge and skills in Data Analysis. Check out our favorite free resources!
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Understanding Cloud Computing: A two hour non-coding introduction to cloud computing by datacamp.
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Kaggle: Kaggle provides free datasets, competitions, and tutorials for practicing data analysis and machine learning.
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Free Power Bi Course With Certificate [2024]: Designed to introduce complete beginners to the world of data analysis and visualization using Microsoft Power BI.
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SQL for Data Analysis | Udacity: Learn how to execute core SQL commands to define, select, manipulate, control access, aggregate, and join data and data tables.
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Hadoop Tutorial: Getting Started with Hadoop: Hadoop is a platform for business data processing and analysis
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Leaflet Quick start guide: An open-source JavaScript library for mobile-friendly interactive maps.
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Get started with frontend development, as a data scientist: Take back control of how you present yourself to the world and become a better engineer.
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Front End Development Libraries Certification | freeCodeCamp.org: Level up your skills by learning some of the most popular front end libraries in the industry.
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DataCamp: DataCamp offers free courses in data analysis, data visualization, machine learning, and more.
🖥️ Explore Programming
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Python
Python is a versatile programming language commonly used in data analysis, with libraries such as pandas, NumPy, and Matplotlib widely used in the field.
Intro to Python for beginners: Learn Intro to Programming | Kaggle
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R Programming Language
R is a programming language and software environment for statistical computing and graphics, commonly used for data analysis and visualization.
🧭 Explore Databases
Explore these top resources to enhance your database skills:
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Udacity Intro to Relational Databases: Relational databases are a powerful tool used throughout the industry. Learn the basics of SQL and how to connect your Python code to a relational database.
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NoSQL Database Tutorial – Full Course for Beginners: In this NoSQL course, Ania Kubow will be demystifying what NoSQL is, clarify the difference between SQL and NoSQL, as well as going into a deep dive of the 4 main types of NoSQL Databases.
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MySQL Tutorial for Beginners [Full Course]: Learn SQL with MySQL from scratch! 📚 This beginner-friendly tutorial covers SQL essentials for working with databases.
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MongoDB University: Offers free online courses on MongoDB, covering topics from beginner to advanced levels.
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MongoDB Documentation: Official documentation by MongoDB providing guides, tutorials, and references for learning MongoDB.
💼 Portfolio Resources for Data Analysts
Explore these top resources to enhance your portofolio:
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Build your data portfolio with datascienceportfol.io : Everything you need to create high-quality data projects and showcase them on a portfolio website.
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DagsHub: Portfolio hosting and collaboration tool.
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Data Portfolio Projects: Explore Thu Vu data analytics YouTube playlist with videos to help you with data portfolio ideas.
💞 Our Favorite Tools
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Tableau Public
Tableau Public: A free data visualization tool that allows you to create interactive dashboards and visualizations.
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GitHub
GitHub: Version control platform for collaborative software development, useful for managing data analysis projects and sharing code.
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Jupyter Notebook
Jupyter Notebook: An open-source web application that allows you to create and share documents containing live code, equations, visualizations, and narrative text.
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Power BI on Microsoft Learn
Power BI on Microsoft Learn: BI is an interactive data visualization software product developed by Microsoft with a focus on business intelligence.
🌅 Be Inspired
You don’t need to reinvent the wheel! check out what other data analysts are doing and learn valuable techniques to take your skills to the next level.
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Maggie | Science, Technology & Engineering: Follow for insights, tips, and resources related to data analytics and science.
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@omozara: Follow for data analytics insights and inspiration.
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Agatha | Data Analyst: Follow for insightful posts and content related to data analysis and analytics.
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Sundas Khalid: Follow for data analytics-related content and insights.
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Thu Vu data analytics - YouTube: Explore Thu Vu's YouTube channel for videos on data analytics topics, tutorials, and discussions.
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Nakya.Sherrell - YouTube: Discover data analytics content, tutorials, and insights on Nakya Sherrell's YouTube channel.