Data Analytics Fundamentals is an exciting free course designed to help individuals who are looking to get a comprehensive understanding of the fundamentals of data analytics. This course covers a wide range of topics, from basic data analysis to more advanced concepts like data visualization and machine learning. With this course, you will have the opportunity to learn about data analysis tools, algorithms, and methods that are used in the industry.
In this self-paced course, you will learn about the process for planning data analysis solutions and the various data analytic processes that are involved. This course takes you through five key factors that indicate the need for specific AWS services in collecting, processing, analyzing, and presenting your data. This includes learning basic architectures, value propositions, and potential use cases. The course introduces you to the AWS services and solutions to help you build and enhance data analysis solutions.
You will learn about:
- Identifying data analytics challenges
- Data storage and the challenges of volume
- Data processing and the challenges of velocity
- Data structure and types, and the challenges of a variety
- Data cleansing and transformation, and the challenges of veracity
- Reporting and business intelligence, and the challenges of value
The course covers key concepts such as data collection and preparation, data exploration and visualization, statistical analysis, and machine learning. You will also learn how to build models and make predictions based on your findings, and how to interpret and communicate the results of your analysis to stakeholders. Additionally, the Amazon Web Services (AWS) services covered in this course include Amazon Simple Storage Service (Amazon S3), AWS Lake Formation, Amazon Redshift, AWS Glue, Amazon EMR, Amazon Kinesis, and many more.
So if you’re interested in learning more about the exciting world of data analytics and expanding your knowledge, then Data Analytics Fundamentals is the perfect course for you! Sign up today and start your journey to becoming a data analyst!