Data science and machine learning (ML) are exciting terms that are reshaping the business world today. They focus on analyzing data and using algorithms to detect patterns, make predictions, and solve real problems. To help you get into this area, IIT Delhi has launched a new batch Certificate Program in Data Science and Machine Learning.
This program is all about giving you the skills to transform data into valuable insights and build robust predictive models. You will learn key skills such as Python programming, statistics, deep learning and data visualization as well as data handling, analysis and machine learning.
Whether you are a professional looking to enhance your skills, a graduate who wants to stand out, or someone passionate about data analysis, this program is perfect for you. Plus, there’s a special focus on how Generative AI fits into Data Science and ML, making it even more relevant and exciting!
Learning Machine Learning and Data Science can really boost your career by equipping you with in-demand skills to tackle complex business challenges. According to a report titled ‘Analytics and Data Science Jobs that are Set to be in Demand in the Future’ by the Institute of Product Leadership, insights from global recruitment firm Michael Page India highlight the growing need for professionals in this field. They estimate that “data science will create approximately 11.5 million jobs by 2026”. So, entering this field now could be a smart move for your future!
A course in Machine Learning and Data Science is highly relevant today, opening doors to exciting job opportunities. With millions of roles projected by 2026, this program is perfectly designed to help young professionals grow, equipping them with the skills they need for career development and a successful future.
Why is Generative AI a significant disruption in Data Science and ML?
Generative AI helps you understand machine learning and data science by showing how models can be used to generate images or text in real life. Additionally, using generative AI for product roadmaps and customer engagement helps in better planning, predicting trends, and creating more personalized user experiences easily. In light of this, it can be said that the above mentioned IITD program can majorly help in promoting the understanding of professionals about the latest trends and equipping them with the necessary knowledge to deliver results.
This IITD program combines practical learning with core modules, projects and tools. Let’s learn more about the details of the program.
Program highlights
as mentioned earlier, IITD program One of the most comprehensive for Data Science, AI and ML. Here are some key features.
- Learn from the faculty of IIT Delhi, one of India’s leading engineering schools, known for excellence in education and research.
- Join impactful live learning sessions and explore real-world case studies for practical understanding.
- Gain organized, industry-focused insights and work with real-world datasets for hands-on experience.
- Engage in peer-to-peer learning and expand your professional network.
- At the end of the program, receive a certificate from IIT Delhi that is recognized by the industry.
Special focus of capstone project
Let’s talk about why the capstone project is such an important part of this program. Hands-on learning is a big deal in IITD’s capstone project for Data Science and Machine Learning. This project really combines theory with practice, letting you tackle real problems using data-driven methods and advanced algorithms.
You will get to explore various steps like data analysis, model selection, training and evaluation. Plus, you’ll work in groups and choose from four different contexts to apply your skills in Python programming, statistical analysis, machine learning, and data visualization to real-world situations. This is a great way to put what you’ve learned into practice and prepare for challenges in the field!
Who is this program for?
This program is ideal for those who want to improve their skills Data Science and Machine LearningLet’s dig deeper.
- Entry and mid-level professionals Those looking for a modern approach to data science and machine learning can benefit from this program. This can enhance their problem-solving abilities and boost career opportunities in competitive industries.
- Pros Managing software development and ML projects that seek to use data-driven decisions to boost business growth. Undertaking this program can improve their skills in data analysis, generative AI and ML, leading to better project outcomes, increased efficiency and stronger team collaboration.
What are the benefits of this program?
Let’s try to summarize the benefits of doing this program. What benefit does one gain from this, especially professionals who are already in this trade and are familiar with the broad outlines of the subject? Here is a list.
* It helps in building predictive models that use neural networks and time series forecasting methods to predict future outcomes based on past data. Predictive models analyze data to predict future events. Neural networks learn patterns, while time series models study data over time to identify and predict trends.
* Professionals gain practical experience with ML algorithms, understand the statistical models that support them, and explore their various applications in real-world scenarios.
* Students gain an in-depth understanding of common methods such as regression, clustering, decision trees, and deep learning techniques.
* Learners use optimization techniques (ways to improve performance by reducing errors or cost) to reduce errors and build accurate models.
Key points to learn program’
A look at the various program electives can help professionals and students better understand the nuances.
Module 1: Data Science Essentials (Fundamentals of Python, Fundamentals of Mathematics (Linear Algebra/Probability), Measures and Descriptors of Data, Distributions and Estimates, Exploratory Data Analysis and Hypothesis Testing and Evaluation)
Module 2: Communicating Effectively with Data (Data and Information Systems, Storytelling with Data, Designing Business Dashboards)
Module 3: Optimization for Machine Learning (Optimization formulations for machine learning, gradient and search-based optimization, linear, quadratic and nonlinear programming and multi-objective and multi-criteria decision-making – evolutionary tools, dimensionality reduction: PCA)
Module 4: Machine Learning (Regression and Classification Trees, Random Forests, Clustering – Hierarchical and K-means clustering)
Module 5: Deep Learning and Generative AI (Deep Feedforward Neural Nets, Convolutional Neural Nets, Long-Term Memory (LSTM) Networks, Large Language Models, Explainable AI, Self Learning Project: CNN Models for Land Use)
module 6, Introduction to Generative AI (VAE, GAN and Diffusion Models; Introduction to LLM; Applications of Generative AI and Self Learning Project: Generative AI).
What are past participants saying?
Wondering what past participants of this program have to say? Don’t worry, we’ve got you covered.
Says, focusing on concepts from ground level was the best part which enables building a strong foundation to understand complex scenarios Siddharth Sahni from Batch 2.
Anisha Chaudhary of Batch 3 Said that it “provided a good introduction to the world of machine learning.” This has given me the confidence to explore machine learning and its applications in my field.
Program Description
starts at: 24 December 2024
Duration: 6 Months Live Online Session Time
program fee, 1,50,000
Eligibility: Graduate (10+2+3)/Diploma holder (10+2+3 only) in any discipline from a recognized university by December 24, 2024.
About IITD
Indian Institute of Technology Delhi (IIT Delhi) is one of the 5 initial IITs established in India for training, research and development in science, engineering and technology. Established as an engineering college in 1961, the institute was later declared an Institute of National Importance under the “Institute of Technology (Amendment) Act, 1963” and renamed as “Indian Institute of Technology Delhi”. It was thereafter given the status of a deemed university with the powers to decide its own academic policy, conduct its own examinations and confer its own degrees. Since its inception, more than 48000 people have graduated from IIT Delhi in various disciplines including engineering, physics, management and humanities and social sciences. Of these, about 5070 received PhD degrees. The rest obtained master’s degrees in engineering, science and business administration. These alumni work today as scientists, technologists, business managers and entrepreneurs. There are many alumni who have moved away from their core subjects and gone into administrative services, active politics, or are with NGOs. By doing so, they have contributed significantly to the building of this nation and industrialization across the world.
