Description

The Data Science Bootcamp at Coder Faculty is a dynamic 12-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 Power BI, Python programming, machine learning, and practical application 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 Power BI 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. Power BI sessions cover data importing and transformation, data modeling, creating interactive dashboards and reports, and advanced analytics. These sessions provide hands-on experience in using Power BI for real-world data analysis and business decision-making.

A distinctive feature of this bootcamp is its focus on real-world applicability. Throughout the 12 weeks, students work on practical data science projects, simulating real-world challenges and solutions. These 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 exam, 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

Add Data Engineer to your CV

Master Power BI

Learn Python Programming

Understand Machine Learning and its applications

Train machine learning models and make predictions

Master Data Science and the Machine Learning workflow

Explore, visualise, pre-process and interpret large datasets

Perform statistical analysis on datasets

Create interactive dashboards and reports with Power BI

Work on Data Science and Machine Learning projects in Python and add it to your Portfolio

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. 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 shall be awarded to students who successfully complete the course.
  • An International Certificate of course completion (Python Programming), issued from Udemy, will also be awarded to students.
  • An International Certificate of course completion (Data Science and Machine Learning), issued from Udemy, will also be awarded to students.

Requirements

  • There are no requirements for this course.
  • Anyone can take this course as it is designed for both beginners and professionals.
  • Students possessing a basic understanding of any programming language will find it easier to follow the course. But it is not a requirement.


Register for this course and become a certified Python Developer today!

Course Content

12 weeks
Getting Started with Data Science
Session 1 • 3 hours
Course Overview
Installation of tools
Jupyter Notebooks
An overview of Data Science
An overview of Machine Learning
An introduction to Data Engineering
Power BI
Session 2 • 3 hours
Introduction to Power BI
Connecting to data sources
Data preparation
Data transformation
Data modelling
Data visualisation
Creating Interactive Dashboards and Reports
Publishing and sharing reports
Analysing data with Power BI
Session 3 • 3 hours
Data modelling
Data visualisation
Creating Interactive Dashboards and Reports
Publishing and sharing reports
Python Fundamentals
Session 4 • 3 hours
Input/Ouput
Variables
Operations
Decisions
Loops
Lists
Dictionaries
Python Advanced Concepts
Session 5 • 3 hours
Exception Handling
Files
String Manipulation
Functions
Objects
Exploring Data: Analysis and visualisation
Session 6 • 3 hours
Introduction to Data Science
Working with Numpy Arrays
Data analysis with Pandas
Visualizing data with Matplotlib and Seaborn
Data Cleaning: Preprocessing and Encoding
Session 7 • 3 hours
Preprocessing data
Encoding data and labels
Scaling and Binning data
Splitting data into training and testing sets
Introduction to Machine Learning
Session 8 • 3 hours
Introduction to Machine Learning
Supervised, Unsupervised and Reinforcement Learning
Classification and Regression
Linear Regression
Logistics Regression
Naive Bayes
K-Nearest Neighbours
Decision Trees and Random Forests
Support Vector Machines
K Means Clustering
Hands-on: Training a Machine Learning Model
Session 9 • 3 hours
Training your model with Scikit-learn
Evaluating your model
Tuning and validating your model
Advanced Analytics with Power BI
Session 10 • 3 hours
Python Integration with Power BI
Machine Learning with Power BI
Predictions with Power BI
Time Series Analysis
Trend Analysis
AI Insights
Hands-on Power BI Project
Session 11 • 3 hours
Project Overview
Data Preparation and cleaning
Data modelling and relationships
Creating reports and dashboards
Advanced data analysis
Publishing and sharing insights
Project Overview and Career Advice
Session 12 • 3 hours
Presentation of Course Project
Udemy Certification
Correction of practicals
Career Advice as a Data Scientist

Instructor

N.Rampersand
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

  • 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.



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