Data Science Bootcamp - Analysis, Visualisation, AI & Machine Learning
Become a certified Data Analyst
Description
The Data Science Bootcamp at Coder Faculty is a dynamic 16-week programme designed for both students and professionals aspiring to pivot into the field of data science. This comprehensive course provides an in-depth exploration of data science principles, focusing on data analytics with Tableau, Python programming, Artificial Intelligence and machine learning using practical applications in data analysis.
The program starts with an extensive Python programming module, establishing a solid foundation in data science applications. It explores Python syntax, control structures and essential libraries like NumPy and pandas for data manipulation and analysis.
As the course advances, the curriculum includes a new focus on Tableau where students engage in advanced data analysis and visualisation, learning to manage large datasets and derive significant insights. This enriches the course with practical skills in data visualisation and business intelligence. Tableau sessions cover data preparation, transformation, modeling, analysis and visualisations to create interactive dashboards and reports. These sessions provide hands-on experience in using Tableau for real-world data analysis and business decision-making.
A distinctive feature of this bootcamp is its focus on real-world applicability. Throughout the 16 weeks, students work on data analytics practicals, simulating real-world challenges and solutions. These mini-projects are integral to developing a professional portfolio that demonstrates their skills and readiness for a data science career.
The program ends with a capstone project, certification exams and a career guidance session. These elements ensure that graduates not only gain comprehensive theoretical knowledge but also practical skills and industry insights, preparing them for a successful transition into data science roles.
Register for the course
What you'll learn
Become a Certified Data Scientist
Master Tableau for Data Visualisation
Explore, prepare, visualise and interpret large datasets
Create interactive dashboards and reports with Tableau
Master the data engineering workflow
Perform statistical analysis for data-driven decision making
Gain real-world experience with data analytics projects
Understand core Python programming concepts
Learn scientific computing with Python
Build a solid foundation in Artificial Intelligence (AI)
Understand machine learning algorithms and techniques
Train predictive machine learning models using real-world datasets
Gain hands-on experience with AI & machine learning projects
Understand Natural Language Processing (NLP) concepts and techniques
Work with essential data science libraries: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn
Prepare for a successful career in data science and AI
Why should you take this course?
This bootcamp offers an intensive, hands-on learning experience, ideal for students or professionals seeking a career into data science. With its blend of rigorous academic content, practical projects and career-oriented training, the Data Science Bootcamp at Coder Faculty stands as a gateway to the exciting and rapidly evolving world of data science and AI. At the end of the bootcamp, students will possess a highly sought skillset that will open up new career opportunities.
How is the course delivered?
- Module 1: Data Science & AI Fundamentals - Learn data visualisation & dashboard design with Tableau as well as foundational AI and data analytics concepts.
- Module 2: Python Programming - Master Python programming, data structures, OOP and essential libraries for AI & data science.
- Module 3: Advanced Data Analytics, AI, Machine Learning & NLP - Gain expertise in data manipulation, visualisation, machine learning algorithms and Natural Language Processing using Python.
How is the course delivered?
- A dedicated qualified lecturer will deliver each session in real time, so you’re always interacting with a live instructor rather than just watching a recording.
- Students can attend classes in-person at our Curepipe campus in Mauritius or join online from anywhere.
- This course is delivered on a part-time basis over weekends (Saturdays) to accommodate working professionals and students with busy weekday schedules.
- All classes are recorded. If you miss a session or want to review a topic, the recording will be posted on our platform for later viewing. If you are not always available on the session date, you can register and view the recordings after the session and progress through the course at your own pace.
- Every session blends concise theory, live demonstrations, hands‑on practicals and a Q&A segment to keep you engaged.
Why should you take this course?
This bootcamp offers an intensive, hands-on learning experience, ideal for students or professionals seeking a career into data science. With its blend of rigorous academic content, practical projects and career-oriented training, the Data Science Bootcamp at Coder Faculty stands as a gateway to the exciting and rapidly evolving world of data science and AI. At the end of the bootcamp, students will possess a highly sought skillset that will open up new career opportunities.
Certificates
- A certificate of course completion will be awarded to all students who successfully complete the course.
- Students will also have the opportunity to earn 3 globally recognised certifications at no additional cost.
- An additional certificate from Harvard University is available to students who complete additional coursework and pass the required exams.
Requirements
- There are no requirements for this course.
- Anyone can take this course as it is designed for both beginners and professionals.
- The course starts with the basics and gradually progresses to advanced topics, ensuring that all students can follow along.
- This course is suitable for individuals from diverse backgrounds, including students, working professionals, and career changers with no prior experience in data science or IT
Register for this course and become a certified Data Analyst today!
Course Content
Instructor
N.Rampersand
Instructor
Nirmal Rampersand is an accomplished Lead Software Engineer with extensive experience in training and leading software development teams with agile frameworks. With a diverse skill set spanning multiple programming languages and domains, he is proficient in Python, Node.js, Java, PHP, SQL, NoSQL, C++, Machine Learning (ML), and Natural Language Processing (NLP). He is currently conducting doctoral research in the field of Computational Intelligence and Optimisation.
With several years of dedicated teaching experience, Nirmal has consistently demonstrated his passion for nurturing the next generation of software developers and data scientists. He has successfully trained both students and professionals in a wide array of domains, including Python programming, Full Stack Web Development, and Data Science & Machine Learning. As a Udemy instructor, he has harnessed his expertise to develop comprehensive curriculums and on-demand courses. This has allowed him to reach a global audience of learners, empowering them with the knowledge and skills necessary to succeed in today's fast-paced tech industry.
He also excelled as a Freelance Software Engineer, demonstrating mastery in developing robust REST APIs using Node.js and Python. His innovative flair was evident in creating intelligent systems for NLP solutions and complex chatbots. Furthermore, he is an expert in data mining and analytics. His proficiency extends to application development, covering the entire lifecycle, and he's crafted user-friendly, cross-platform mobile applications. These hands-on experiences uniquely qualify him to impart real-world knowledge to students and professionals alike.
These rich experiences in software engineering, development, and AI have uniquely positioned him as an educator who not only imparts knowledge but also shares real-world, hands-on expertise with his students.
Student Reviews
Register for the course
Aswad Banee - Software Engineer at Agileum
Rating: 5/5
It was a fantastic training, and you got fantastic teaching skills. This made it possible for me to quickly pick up python. Every single one of your lectures was excellent. I sincerely appreciate it.
Aditya Potharala - Software Engineering Student
Rating: 5/5
The course covers a lot of material and also the assignments were manageable. It was interactive, informative and well planned. It has been a truly rewarding learning experience and the tutor was very understanding and supportive throughout the course. Highly recommended !
Altaaf Waresh Allee - Junior Developer
Rating: 5/5
Courses are well structured, lectures are well explained and practical sessions are made easy for anyone. Mr Nirmal a really great lecturer, one who shows passion for his job and cares for his students. Really enjoyed the efforts made for students.