Programming for Data Science Training

Live Online & Classroom Enterprise Training

Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems.

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Real-time code analysis and feedback

What is Programming for Data Science Training about?

There is a rising demand for people with the skills to work with Big Data sets. This course can start you on your journey through our Big Data MicroMasters program toward a recognised credential in this highly competitive area. Using practical activities, you will learn how digital technologies work and will develop your coding skills through engaging and collaborative assignments.

You will learn algorithm design and fundamental programming concepts such as data selection, iteration, functional decomposition, data abstraction, and organisation. In addition, you will learn how to perform simple data visualisations using Processing and embed your learning using problem-based assignments. This course will test your knowledge and skills in solving small-scale data science problems working with real-world datasets and develop your understanding of big data in the world around you.

What are the objectives of Programming for Data Science Training ?

How to analyze data and perform simple data visualizations using Processing
Understand and apply introductory programming concepts such as sequencing, iteration, and selection
Equip you to study computer science or other programming languages

Who is Programming for Data Science Training for?

Aspiring data scientists
Beginners in programming
People interested in data analysis
Anyone who wants to learn how to code and apply their skills in practice
Professionals with < 5 years of experience and are looking to transition to programming roles

What are the prerequisites for Programming for Data Science Training?

None

Available Training Modes

Live Online Training

50 Hours

Self-Paced Training

50 Hours

Course Outline Expand All

Expand All

Module – 1:  Creative code - computational thinking

Module – 2: Building blocks - breaking It down and building it up

Module – 3: Repetition: Creating and recognising patterns

Module – 4: Choice - which path to follow?

Module – 5: Repetition - going further

Module – 6: Testing and debugging

Module – 7: Arranging our data

Module – 8: Functions - reusable code

Module – 9: Data science in practice

Who is the instructor for this training?

The trainer for this Programming for Data Science Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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