A data analyst collects, cleans, and interprets data sets to answer specific questions or solve problems.

Who is the Course for?

The course is for individuals aspiring to become Data Analysts, whether they have a background in mathematics, statistics, or business, or are newcomers interested in data analysis. It’s ideal for recent graduates, professionals looking to switch careers, and anyone eager to learn how to collect, analyze, and interpret data to make informed business decisions.

What you will learn: The fundamentals of data analysis and its role in decision-making, How to collect, clean, and preprocess data for analysis, Techniques for exploratory data analysis (EDA) using statistical methods, Data visualization best practices and tools (e.g., Tableau, Matplotlib, Power BI), SQL for querying and managing databases, Using programming languages such as Python or R for data manipulation and analysis, Statistical concepts, including hypothesis testing and regression analysis, Presenting findings effectively through reports and dashboards, Understanding data ethics and privacy considerations, Applying analytical skills to real-world business problems and case studies.

Skills you will acquire

1. Proficiency in data collection, cleaning, and preprocessing techniques
2. Ability to perform exploratory data analysis (EDA) using statistical methods
3. Skills in data visualization using tools like Tableau, Power BI, or Matplotlib
4. Proficiency in SQL for querying and managing databases
5. Competency in programming languages such as Python or R for data manipulation
6. Understanding of statistical concepts, including regression analysis and hypothesis testing
7. Effective presentation of data insights through reports and dashboards
8. Knowledge of data ethics and privacy considerations
9. Practical application of analytical skills to solve real-world business problems
10. Strong problem-solving and critical-thinking abilities in data analysis contexts