Data Analytics

Data is the new oil. Evidence based decision making and data driven policy making are becoming an integral part of growing organizations. Inorder to drive this process, people with updated skills in data and data management are in high demand. This course is about how to process data into meaningful conclusions so that decision makers are able to make correct strategic decisions. It also covers practical experiences in data analysis tools and softwares.

Objectives

• Learn about the various components of a modern data ecosystem and the role Data Analysts, Data Scientists, and Data Engineers play in this ecosystem.
• Gain an understanding of data structures, file formats, sources of data, and data repositories.
• Understand what Big Data is and the features and uses of some of the Big Data processing tools.
• Learn all the key tasks a Data Analyst performs in a typical day. This includes how they identify, gather, wrangle, mine and analyze data, and finally communicate their findings to different stakeholders impactfully.
• Introduction to some of the tools Data Analysts use for each of these tasks.
• Learn about the features and use of relational and non-relational databases, data warehouses, data marts, and data lakes.
• Know about the various career opportunities available in the field of Data Analytics, and the different learning paths you can consider to gain entry into this field.
• Familiarize yourself with exercises and a hands-on lab to test your understanding of some of the basic data gathering, wrangling, mining, analysis, and visualization tasks.

Job Opportunities

Future industry and business organizations are looking for data literate experts like Data Scientists, Data Analysts, and Data Engineers to churn their raw datasets into smart business insights and make data-driven decisions. This is one of the top paying jobs in the sector. Here are some of those positions:

• Data Scientist
• Data Engineer
• Data Analyst
• Machine Learning Engineer
• Data Journalist
• Database Admin
• Financial Analyst
• Business Analyst
• Product Analyst
• Business Intelligence Analyst
• Marketing Analyst
• Quantitative Analyst
• Data Visualization Specialist
• Functional Analyst
• Data System Developer