"Data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data. This analysis helps data scientists to ask and answer questions like what happened, why it happened, what will happen, and what can be done with the results." - source
"Data analytics converts raw data into actionable insights. It includes a range of tools, technologies, and processes used to find trends and solve problems by using data. Data analytics can shape business processes, improve decision-making, and foster business growth." - source
Let's say you are tasked to make your final year project for a real customer and you have finalized a retail shop in your area. The customer has provided you with the purchase history and the inward and outward stock records of ten years. That's a lot of raw data to filter, sort, and clean. You can use Data science here to analyze all this raw data and convert it into meaningful usable data. Then, you can leverage data analytics to make discount schemes on low selling products, design marketing campaigns for areas that have less reach and estimate the best suitable value for products that would receive good margins. The result of all this will ultimately increase sales and gain more profits.
You can learn more about Data Science and Data Analytics services by visiting - https://aws.amazon.com/getting-started/learning-path-data-scientist/
| Title | Description | Format |
|---|---|---|
| Practical Data Science on the AWS Cloud Specialization | This course is a Data Science specialization and can be audited for free. | Course, Labs |
| Data Solutions for Education | Student Profile Guided Lab | Deep dive into building a Student information system and a learning management system in this workshop. | Workshop |
| Title | Description | Format |
|---|---|---|
| Data Science on AWS - Workshops (YouTube Playlist) | One of the most guided collection of video courses about learning Data Science on AWS on YouTube. | Videos |
| The Elements of Data Science | Learn problem formulation, exploratory data analysis, feature engineering, model training, tuning and debugging, as well as model evaluation and productionizing in this Skillbuilder course. | Videos, Labs |
| Data Analytics Fundamentals | This is detailed course from basic to intermediate about getting started with Data Analytics | Videos, Labs |
| Title | Description | Format |
|---|---|---|
| Anomaly Detection on AWS | Explore practical aspects of building anomaly detection applications on AWS, using Amazon Kinesis Data Analytics and Amazon SageMaker. | Video, Labs |
| Analyze toll data using serverless analytics on AWS | The purpose of this workshop is to build an end-to-end serverless ETL pipeline leveraging Amazon S3 Data Lake, AWS Lake Formation, AWS Glue, Amazon Kinesis, Amazon Athena, and Amazon QuickSight | Workshop |
| Web Analytics with Amplify | Learn how to create custom analytics pipeline to collect events and create custom dashboards to analyze these events with Amazon Kinesis and Amazon QuickSight and much more | Workshop |