KEY HIGHLIGHTS OF DATA SCIENCE WITH BUSINESS INTELLIGENCE COURSE PROGRAM
1) 25 + live session Across 4 month
2) 75 Hours of Self Paced Learning
3) Weekly sessions with industry professionals
4) Dedicated Learning Management Team
5) 240 hours of hands-on learning experience
6) 75+ Live Sessions Across 11 months
7) Competitive Edge and Innovation
8) Problem-Solving and Critical Thinking
🔺105 Hours of Self-Paced Learning
🔺More than 25+ industry-related projects and case studies
🔺24*7 Support
🔺1:1 Mock Interview
🔺Designed for both working professionals and fresh graduates
🔺 Learn from Industry Experts.
🔺One-on-One with Industry Mentors
🔺Dedicated Learning Management Team
🔺No-Cost EMI Option
🔺High Demand and Career Opportunities
WHY JOIN APPLIED DATA SCIENCE WITH PYTHON PROGRAM?
Applied Data Science with Python OVERVIEW
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..
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Applied Data Science with Python Objectives
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.
Why Learn Advanced AI & Generative AI ?
Program Advantages
✅ 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.
✅ 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.
Applied Data Science with Python program Certifications
Applied Data Science with Python Curriculum
Applied Data Science with Python Skills Covered
Applied Data Science with Python Tools Covered
Applied Data Science with Python Program Benefits
Advanced AI & Generative AI Program Benefits
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.
