Data Analytics Essentials:
Master the Tools of the Trade
Learn the fundamental tools and techniques of data analytics, from Excel and SQL to Tableau, and build your analytics portfolio.
- Data Gathering and Preparation
- Data Transformation with Excel
- Statistical Data Analysis
- SQL and Relational Database Management
- Data Visualisation with Tableau
Overview of Course
Data analytics is transforming industries around the world, and businesses are increasingly relying on data-driven insights to make informed decisions. “Data Analytics Essentials” is a comprehensive course designed to teach you the fundamental tools and techniques used by data analysts. Whether you are new to data analytics or looking to enhance your skills, this course provides a solid foundation in the essential aspects of the field.
Throughout the course, you’ll learn how to gather, clean, and prepare data for analysis using tools like Excel. You’ll also dive into the world of SQL, learning how to query data from relational databases, and discover how to create compelling data visualizations with Tableau. By the end of the course, you’ll have built an analytics portfolio, showcasing your ability to analyze and visualize data effectively.
This course is perfect for beginners who want to enter the field of data analytics or professionals looking to refine their skills and stay competitive in a data-driven job market.
Length of Course: 30 Hours
Why You Should Take This Course:
Data analytics is a crucial skill in today’s business environment, and mastering it can open up a wide range of career opportunities. “Data Analytics Essentials” equips you with the knowledge and practical skills needed to analyze data, generate insights, and make data-driven decisions.
One of the key reasons to take this course is its focus on practical, hands-on learning. You’ll work with real datasets and use industry-standard tools like Excel, SQL, and Tableau. These tools are widely used by data analysts, and proficiency in them is highly valued by employers. The course also includes a final project where you’ll analyze a popular movies dataset, allowing you to apply what you’ve learned and create a portfolio piece that demonstrates your capabilities.
Another major benefit of this course is its comprehensive coverage of the data analytics process. From data gathering and cleaning to advanced analysis and visualization, you’ll learn each step in the process. This holistic approach ensures that you not only understand the technical aspects of data analytics but also how to apply them in real-world scenarios.
In addition to technical skills, the course addresses important topics like ethics and bias in data. Understanding the ethical implications of data analysis is critical in today’s world, where data can significantly impact decisions and outcomes. This course will help you navigate these challenges and use data responsibly.
By the end of “Data Analytics Essentials,” you’ll have a strong foundation in data analytics, a portfolio of work to showcase your skills, and the confidence to pursue a career in this rapidly growing field.
Module 1: Data Analytics Projects
- Introduction to Data Analytics
- Real-Time Data Analytics
- Data Analytics in Action
- Building a Project Portfolio
- Data Analytic Projects Summary
Module 2: Getting Started with Data Gathering and Investigation
- Introduction to Data Gathering Tools
- Basic Excel Concepts and Features
- Using Simple Functions for Data Analysis
- Starting the Data Investigation Process
- Module Summary
Module 3: Preparing and Cleaning Data for Analysis
- Understanding Sources of Data
- Working with Structured and Unstructured Data
- Data Preparation Techniques
- Cleaning Data for Analysis
- Module Summary
Module 4: Transforming Data with Excel
- Sorting and Filtering Data in Excel
- Formatting and Adjusting Data for Analysis
- Performing Data Calculations
- Module Summary
Module 5: Analysing Data Using Statistics
- Introduction to Statistical Analysis
- Using Statistics to Interpret Data
- Choosing the Right Visualisations for Your Job
- Addressing Data Anomalies
- Using Excel for Statistical Analysis
- Module Summary
Module 6: Introduction to Relational Databases and SQL
- Basic Data Management Concepts
- Introduction to SQL
- Module Summary
Module 7: Introduction to Structured Queries
- Understanding Relational Database Structures
- Using SQL with Multiple Tables
- Combining SQL Functions to Extract Data
- Management Features of SQL and Alternatives
- Module Summary
Module 8: Introduction to Tableau
- Introduction to Tableau
- Creating Visualisations in Tableau
- Building Tableau Dashboards
- Module Summary
Module 9: Ethics and Bias in Data
- Introduction to Ethical Data Use
- Understanding Bias in Data Analysis
- Module Summary
Module 10: Take the Next Steps
- Requirements for Building an Analytics Portfolio
- Expanding Your Analytics Skills
- Module Summary
Final Assessment:
- Data Analytics Essentials Final Exam
This course is part of the Learning Collections from the Unibeez Skills Academy
