Data Science and Business Analytics
Beginner to Mastery
Cutting-edge Data Science Tools.
Comprehensive curriculum covering Python, statistics, machine learning, and deep learning.
Strong emphasis on practical application through hands-on projects.
Flexible program design to accommodate learners from diverse backgrounds.
Group Enrollment with Friends or Colleagues
240 Hours
14 September 2025
Live. Online. Interactive.
Cutting-edge focus on deep learning for AI proficiency.
Equip graduates with in-demand skills for successful careers in data science.
Industry-relevant case studies to bridge the gap between theory and real-world problem-solving.
Work on real-world projects and case studies to apply concepts practically and build a strong portfolio.
Skills in Python, data analysis, and machine learning are highly sought after and lead to well-paying careers in tech, finance, and healthcare.
This program’s skills offer flexibility, allowing you to excel in roles like data analyst, software developer, or AI researcher.
Learning these tools gives you a competitive edge, sharpens analytical skills, and enables innovation in AI and intelligent systems.
It sharpens problem-solving and critical thinking by using statistics and machine learning for data-driven decision-making.
14 September 2025
30 MINUTE MEETING
Web conferencing details provided upon confirmation.
Corporate Training, Enterprise training for teams
Batch | Batch Type |
---|---|
Online Live Instructor Led Session | Full-Time |
Online Live Instructor Led Session | Part-Time |
Batch | Batch Type |
---|---|
IST (India Standard Time) | 09:00 PM–12:00 AM |
Bahrain, Qatar, Kuwait, Saudi Arabia | 06:30 PM–09:30 PM |
UAE / Oman | 07:30 PM–09:00 PM |
This program is designed to equip students with the fundamentals required in data science, as it has become one of the most promising fields nowadays. Learning Python programming helps to learn how data can be manipulated, analysed, and visualised using the same program. Knowing the statistics, you can use it to see how things stack up, what inferences you could derive from them, and base your decisions on data as opposed to gut. From there, the curriculum reaches out to machine learning and deep learning so that students can equip intelligent systems capable of predicting from data. About the course, This extensive program caters to prospective data scientists, analysts, and machine learning engineers in exploring their abilities and assisting them derive meaningful information from diverse datasets..
ENROLL NOW & BOOK YOUR SEAT AT FLAT 50% WAIVER ON FEE
Enroll Now →This course assures students that they will be competent in Python programming including Deep Learning, Machine Learning, and Statistics. Firstly, this will start with Python Programming where the student must learn how to write codes effectively as well as become conversant with libraries and frameworks for data analysis as well as scientific computing. The statistical segment of this program will also help them learn more about data distribution, probability theory, hypothesis testing, and regression analysis on which to base their factual decision-making. They should be ready now to understand machine learning such as supervised and unsupervised learning methods; model evaluation; and feature engineering so that they can build predictive models to identify patterns within complex datasets. This is followed by deep learning in neural networks such as convolutional or recurrent neural networks and their applications in image recognition and speech recognition among others. By the end of the course, the learners are expected to implement a Data Science project from scratch until it is designed according to contemporary practices thus converting raw information into action-oriented results.
Enroll Now →Learn Python programming, data manipulation in Pandas and NumPy, and statistical analysis tools to explore the dataset and derive insights from it.
Making machines helping to make decisions and predictions using Machine Learning & Deep learning techniques.
Discover hidden patterns and insights within your data through data analysis and feature engineering, driving informed decision-making.
Innovative ways of communicating detailed understanding and findings with data visualisation techniques.
Gain skills that can lead you to top jobs in data science, machine learning, and artificial intelligence.
Develop cutting-edge technologies and solutions with deep understanding of these tools.
Work on real-world projects and case studies to apply concepts practically and build a strong portfolio.
Develop analytical and critical thinking skills to tackle complex business and research challenges using data-driven approaches.
Covers Python, statistical analysis, machine learning, and deep learning for a broad data science foundation.
Focuses on current tools and practices to ensure up-to-date training.
Combines theory with projects for hands-on problem-solving skills.
Taught by knowledgeable educators with a focus on individual student attention.
Prepares students for roles like Data Analysts, Machine Learning Engineers, and AI Specialists.
Teaches state-of-the-art libraries and frameworks such as TensorFlow and Keras.
Develops problem-solving abilities and data-driven decision-making.
Encourages teamwork, idea sharing, and networking among students.
Helps students build a professional portfolio for job searches and promotions.
Provides a solid foundation for continuous learning in evolving data science technologies.
Min
$90,000
Average
$120,000
Max
$150,000
Practice Essential Tools
Designed By Industry Experts
Get Real-world Experience
WE CAN APPLY FOR JOBS IN
Preparing the Data for acquisition
cleaning, transformation, exploration and analysis.
Building, training, and evaluating statistical and machine learning models for predictive and prescriptive analytics.
Applying deep learning, natural language processing, and computer vision techniques for complex problem-solving.
Creating compelling visualizations and communicating insights effectively to technical and non-technical audiences.
Stay updated with the latest advancements in AI and apply them to improve existing solutions.
Applying data-driven solutions to address business challenges and identify new opportunities.
Troubleshoot and resolve issues related to AI models and systems.
Working effectively with cross-functional teams to achieve project objectives.
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs.
Batch | Date | Time (IST) | Batch Type |
---|---|---|---|
Online Live Instructor Led Session | 30 August 2025 | 9 PM to 12 AM | Batch 1 |
Online Live Instructor Led Session | 14th Sept 2025 | 9 PM to 12 AM | Batch 2 |
Feature | Our Course | COMPETITOR A | COMPETITOR B |
---|---|---|---|
Curriculum Scope | Comprehensive: Python, ML, DL, NLP, CV, Generative AI | Basic ML and DL focus | General AI with less focus on Generative AI |
Hands-On Experience | Extensive practical projects with tools like GPT, DALL-E 2 | Limited practical projects | Hands-on projects mainly in traditional AI |
Advanced Tools | GPT, DALL-E 2, Midjourney, Hugging Face, Transformers, GANs, RAG, LangChain | Focus on traditional ML frameworks | Emphasis on standard ML and AI tools |
Instructor Expertise | Experienced professionals with industry and research background | Mix of industry and academic instructors | Primarily academic-focused instructors |
Real-World Applications | Emphasis on real-world problem-solving and innovation | Mostly theoretical applications | General applications with less focus on innovation |
Career Support | Strong focus on career advancement and networking | Basic career services | Limited career support and networking opportunities |
Networking Opportunities | Connect with peers and industry leaders | Limited networking events | Few networking opportunities |
Certification Value | Recognized certification for advanced AI roles | Standard certification | General certification with less industry recognition |