Ementorhub

What you'll learn

Explain what Data Analytics is and the key steps in the Data Analytics process

Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst

Describe the different types of data structures, file formats, and sources of data

Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

Statistical Analysis

Data Analysis

Data Wrangling

Apache Hive

Apache Hadoop

Data Lakes

Data Mart

Big Data

Data Warehousing

Data Collection

Data Visualization Software

Apache Spark

Data Cleansing

There are 5 modules in this course

You will familiarize yourself with the data ecosystem, alongside Databases, Data Warehouses, Data Marts, Data Lakes and Data Pipelines. Continue this exciting journey and discover Big Data platforms such as Hadoop, Hive, and Spark. By the end of this course you’ll be able to understand the fundamentals of the data analysis process including gathering, cleaning, analyzing and sharing data and communicating your insights with the use of visualizations and dashboard tools. This all comes together in the final project where it will test your knowledge of the course material, and provide a real-world scenario of data analysis tasks. This course does not require any prior data analysis, spreadsheet, or computer science experience.

The Data Ecosystem

Gathering and Wrangling Data

Mining & Visualizing Data and Communicating Results

Career Opportunities and Data Analysis in Action