Intro to Data Analytics

This program is designed to provide learners with essential skills and knowledge to understand and work with data. This involves learning how to process, manage, and analyze data using various analytical methods and tools like Python and SQL. Students will practice interpreting results for different audiences and develop effective ways to visualize and communicate their findings. The program aims to prepare learners for the increasing demand for data analysts.  Intro to Data Analytics equips them with the critical skills needed to identify patterns in various datasets and make informed decisions based on the data.

• Data Basics: Understanding what data is, types of data (structured and unstructured), and how to gather and organize it.

• Data Tools: Introduction to commonly used tools like Excel, SQL, Python, or data visualization software like Tableau or Power BI.

• Data Cleaning: Learning how to prepare raw data for analysis by cleaning and transforming it.

• Data Analysis Techniques: Exploring methods such as descriptive statistics, trend analysis, and exploratory data analysis (EDA).

• Visualization and Reporting: Creating charts, graphs, and dashboards to communicate your findings clearly and effectively.

• Practical Applications: Applying data analytics to real-world problems, such as improving business processes or making data-driven decisions.

• And more…