About the Programme
Data Analytics is the process of examining raw data to draw meaningful conclusions and insights. Data Analysts use various tools, techniques, and methodologies to analyze data, identify patterns, trends, and correlations, and translate these findings into actionable recommendations.
In this comprehensive 8-week hybrid learning programme, participants will delve into key concepts central to data analytics. They will receive mentorship and gain practical experience and learn the necessary skills to excel in the field of data analytics, enabling them to extract valuable insights from complex data sets.
Skills You Will Acquire
Proficiency in data wrangling and cleaning using tools like Python or R.
Familiarity with statistical methods for hypothesis testing, correlation analysis, and regression.
Ability to create informative and visually appealing charts and graphs.
Introduction to machine learning algorithms for predictive modeling.
Proficiency in programming languages like Python or R for data analysis.
Skills in using SQL to extract and analyze data from relational databases.
Analytical thinking to draw meaningful insights and make data-driven recommendations.
Basic understanding of tools like Hadoop and Spark for big data analysis.
*Note: The training modules are tailored to match the specific requirements of each individual project.
This programme is suitable for individuals who have a foundational understanding of the chosen programme. You’ll require an access to a computer and the internet, along with a strong motivation to learn.