Skill Development Programme in Data Science
Data Science is one of the most in-demand skill sets that companies are constantly hiring for. This Skill Path will teach you the basics of cleaning, analyzing, and visualizing data. You will learn industry-standard languages and libraries including Python, pandas, and SQL. Along the way, you will create real-world projects to practice and demonstrate your analytical skills. Applicants with a keen interest in emerging technologies are eligible for the programme.
By the end of this programme, you’ll not only have a strong foundation in data science principles but also hands-on experience solving real business problems. Whether you're looking to start a new career, enhance your current role, or prepare for advanced studies, this skill path equips you with the practical tools and confidence to succeed in today’s data-driven world.
Accreditation
Each of the skill development programmes are accredited by the London Management Qualifications Authority (LMQ).
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Data Science Foundations
Preview what lies ahead on your Data Science journey.
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Principles of Data Literacy
Discover the world of data in this fully conceptual course where you will learn how to think about, visualize, and analyse data.
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Learn SQL
Learn SQL—a popular language that is used for communicating with databases and working with data.
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Python Fundamentals for Data Science (Part I)
Build a foundation in programming with Python with a focus on Data Science.
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Python Fundamentals for Data Science (Part II)
Continue building your Python skills while applying them to real data science challenges including finding and working with real data.
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Python Pandas for Data Science
Learn how to use the Python Pandas library and lambda functions for Data Science.
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Exploratory Data Analysis in Python
Learn about exploratory data analysis (EDA) techniques for Data Science. MODULES ON-CAMPUS / ONLINE
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Statistics Fundamentals for Data Science
Learn how and when to use the essential statistical tools Data Scientists use to analyze data.
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Data Visualization Fundamentals with Python
If a picture is worth a thousand words, then a visualization is worth more than a thousand data points. Learn how to make them here!
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Portfolio Project: Data Visualization
Use your understanding of data visualization to analyze and plot data.
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Data Wrangling, Cleaning, and Tidying
Clean, well-structured data is essential to data science but cleaning data requires both a keen eye and technical skills.
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Communicating Data Science Findings
Communication is an important part of your work as a data scientist. Learn best practices for effectively explaining your analysis.
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Data Analysis Portfolio Project
Use your knowledge of data analysis to interpret data as part of a capstone project.
Career Prospects
- Data Analyst
- Data Architect
- Data Scientist
- Database Administrator
- Data Engineer
- Data Manager
- Machine Learning Engineer
- Business Intelligence Analyst
- Statistician
