Data Analyst (Python & R)
Overview This program provides a comprehensive foundation in data analytics, covering the data lifecycle, data cleaning, preprocessing, and exploration. Participants […]
Course Description
Overview
This program provides a comprehensive foundation in data analytics, covering the data lifecycle, data cleaning, preprocessing, and exploration. Participants will use Python and R, working with libraries like pandas, NumPy, matplotlib, Seaborn, ggplot2, and dplyr, to perform descriptive and inferential statistics. The course emphasizes data visualization, pattern discovery, insight generation, and business storytelling, culminating in a capstone project that prepares learners for entry-level data analyst roles.
Duration & Eligibility
- Duration: 90 hrs (2 hrs/day)
- Eligibility: Diploma / Graduate Students / Working Professional
Learning Outcomes
- Understand the fundamentals of data analytics and the data lifecycle.
- Use Python and R for data manipulation, exploration, and visualization.
- Perform descriptive and inferential statistics using real-world datasets.
- Clean, preprocess, and structure datasets for analysis.
- Create and interpret visualizations to uncover patterns and trends.
- Generate business insights and present analytical findings.
- Work with libraries such as pandas, numpy, matplotlib, seaborn (Python), and ggplot2, dplyr (R).
- Complete a capstone project using real-world data and storytelling techniques.
- Prepare for entry-level data analyst roles.
Career Opportunities
- Sales and Marketing Analyst
- BI Analyst
- BI Developer
- BI Solution Architect
- Data Analyst
- Data engineer
- Financial Consultant
Your Instructors
At MSDC, our instructors are the heartbeat of our programs. They embody a rich blend of academic excellence and real-world expertise, ensuring an immersive and practical learning experience for our students. Each instructor is meticulously selected, not only for their depth of knowledge but also for their ability to inspire and guide.
