Data science is an important field that involves helping organizations collect and process large volumes of data and derive useful insights from it that can inform decision-making. Data science is closely related to the fields of AI and machine learning. There is a high demand in the industry for professionals who are skilled in using data science, machine learning, and AI tools and technologies. We have prepared a list of the top 10 CDAC data science courses that can help you learn about these tools and technologies, begin a career in data science, or grow your existing data science career.
CDAC Training Centers
CDAC has training centers in 15+ cities across India and offers both online and offline training through these centers. Depending on the course you select, you will be able to choose between online and offline training.
CDAC’s training centers have well-equipped classrooms and state-of-the-art IT labs. Some CDAC centers offer hostel and canteen facilities. All CDAC data science courses that are delivered in physical mode through classroom training are conducted in these training centers.
Hostel facilities are allotted on a first-come-first-serve basis, with preference being given to outstation students. If your training center does not provide hostel facilities, it may assist you in finding boarding and lodging.
You can send in a request for assistance with finding accommodation to the administrative officers at your campus once your admission to a course has been confirmed.
CDAC Data Science Courses
You can find CDAC data science courses on a wide variety of topics such as AI, machine learning, data analytics, and big data. CDAC also offers a post-graduate course in advanced computing that can help you gain computer science and IT skills.
Data science involves using tools and techniques from programming, mathematics, statistics, machine learning, and AI to solve problems. AI and machine learning tools can help process data and derive insights from it.
Hence, both current and aspiring data scientists must learn to work with them. Completing CDAC data science courses can help you with this and with gaining other important, job-ready skills.
So, let us now check out this list of the top 10 CDAC data science courses that can help you gain skills that will be valuable in your data science career.
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1. Image Processing with AI
CDAC Kolkata offers an online certificate course in image processing with AI that includes both theoretical and practical learning.
The curriculum for this program includes Python programming/MATLAB scripting, image processing fundamentals, computer vision fundamentals, machine learning for image analysis, and deep learning for image processing. You must maintain 70% attendance for this course.
You will also be able to work on case studies and projects for hands-on, practical training. Selected students will be given a chance to complete an internship (unpaid) for 3-6 months.
To be eligible for this CDAC data science training program, you must be an Indian citizen and know computing and programming essentials.
You must also have completed/be pursuing a 4-year undergraduate degree in engineering or a Master’s in mathematics, physics, or statistics. Students with MBA (Systems) or MCA degrees or other postgraduate degrees (completed/pursuing) in engineering, science, management, or computer science can also apply.
2. Introduction to AI and Machine Learning with Python
CDAC Kolkata offers an online certificate course that will provide you with basic skills in using Python for AI and machine learning. AI, machine learning, and Python are in-demand skills in the industry, currently.
Hence, pursuing CDAC data science courses (such as this one) in these areas will give you an edge as a data science professional.
The curriculum for this program includes basic Python programming, AI fundamentals, practical machine learning, deep learning and generative AI, natural language processing, and image processing. This course requires a minimum attendance of 70%.
For practical training, you will be completing project work and learning from case studies in this course. Selected students will get to complete an internship (unpaid) with a duration of 3 to 6 months.
To be eligible for this CDAC data science training program, you must be an Indian citizen, understand computing and programming basics, and have completed/be currently pursuing a 4-year engineering degree or a Master’s or other post-graduation program in mathematics, statistics, engineering, science, management, or computer-related fields.
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3. M Tech. in Computer Science and Engineering and AI and DS
CDAC Noida offers a 2-year M. Tech. Programs in computer science and engineering and AI and data science. These programs aim to improve your knowledge in different areas of computer science and IT and take in 25 students per year.
The programs are designed such that you can complete them solely based on advanced coursework, but you can substitute some courses with project work of equivalent weightage.
The courses are delivered through group and self-learning seminars, conferences, case studies, industry-based live projects, and guest lectures by industry experts. These experts include eminent IT professionals as well as senior professionals from other relevant fields.
These courses are assessed through continuous evaluation in the form of tests, surprise quizzes, homework assignments, lab work, presentations, and other coursework.
A computer science and engineering course can give you the skills needed to succeed in a data science career and other fields as well. Hence, it is a great alternative to CDAC data science courses for those who want to enter into a data science career.
4. PG Diploma in Big Data Analytics (PG-DBDA)
CDAC offers a Post-Graduate Diploma in Big Data Analytics (PG-DBDA) that will help you learn essential skills related to big data, data analysis, and machine learning. You will learn to work with big data platforms, apply big data analysis techniques to solving business problems, and design data mining algorithms for large volumes of data.
You will also learn about the applications of big data and master big data analytics tools such as Hadoop and MapReduce.
At the end of this course, you will have mastered statistics and machine learning with Python, be able to make data-driven decisions, and use big data technologies such as Hadoop, Spark, and Hive.
You will be able to work in a wide range of job roles such as data scientist, data analyst, machine learning engineer, and business analyst.
This course is also useful for analytics professionals who want to add to their skills as well as students/freshers with good analytical skills who want to start a career in big data analytics.
You can complete this course in 24 weeks, with a total of 900 hours of theory, practical training, and project work. This course will be delivered in either fully online or fully physical mode.
This course focuses on both theoretical learning and practical training. The focus areas of this course include the fundamentals of big data analytics, data visualization, and data mining techniques, advanced analytical and decision-making tools, operation research techniques for solving complex problems, and cloud computing.
The course curriculum includes Linux programming and cloud computing, Python and R programming, Java, advanced analytics using statistics, principles, tools, and platforms for data collection and database management, big data technologies, data visualization, analysis, and reporting, practical machine learning, quantitative and logical aptitude, and effective communication.
The course content is revised regularly according to industry requirements and changing trends in the field of big data analytics.
You will also complete case studies and project work in this program. You will learn to solve problems across industries and sectors, such as government, manufacturing, retail, education, banking/finance, healthcare, and pharmaceuticals.
This course is available in CDAC’s centers in Bengaluru, Chennai, Hyderabad, Kolkata, New Delhi, Noida, and many other cities across India.
You will have access to classrooms and state-of-the-art computer labs and also complete multiple industry and client projects that can help you get in touch with potential recruiters.
You can avail of placement assistance in this program. CDAC offers a centralized placement program in coordination with your training center through which you will be able to take part in campus interviews.
To be eligible for this CDAC data science training program, you must be a graduate in computer science, electronics, IT, or any other discipline of engineering or possess an MSc. or MS in computer science, IT, computer application, mathematics, statistics, or physics, an MCA, or an MCM. You must have a minimum score of 55% in your degree program.
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5. PG Diploma in Artificial Intelligence
CDAC offers a Post-Graduate Diploma in AI (PG-DAI) program that aims to provide you with in-depth knowledge and application-based training in AI through tool-based learning and case studies.
Once you complete this course, you will have mastered the use of computational techniques in the areas of AI, natural language processing, machine learning, and deep learning.
The course curriculum includes AI fundamentals, mathematics for AI, Java, advanced Python programming, data analytics, practical machine learning, deep neural networks, natural language processing and computer vision, AI platforms, applications and trends, quantitative and logical aptitude, and effective communication.
The course content is revised according to industry requirements and emerging trends in AI. You will also be able to complete a project in this program. This course is available in CDAC training centers in Noida, Pune, and Silchar.
You can avail of placement assistance in this program. CDAC offers a centralized placement program in coordination with its various centers. Through this program, you will be able to participate in campus interviews.
To be eligible for this CDAC data science training program, you must be an engineering graduate (any field), a graduate in any tech field, or hold a postgraduate in mathematics/statistics/physics, an MCA, or an MCM. You must have a score of 60% or more in your degree program.
6. Industrial Training: Data Sciences and Analytics
CDAC offers a certificate course in industrial training on data sciences and analytics, in which you will gain skills in data analytics, programming, statistics, and machine learning through classroom sessions, project work, and case studies. You will also learn about data analytics tools.
You can complete this course in 6 months (26 weeks) through 4 hours of sessions per day. The course curriculum includes data analytics basics, Python and R programming, descriptive and inferential statistics, data management and processing, machine learning for data analytics, data analytics tools, and applications of data analytics.
This course requires a minimum attendance of 75%. You will also complete case studies and project work in this course.
To be eligible for this CDAC data science training program, you need to possess a BE, B. Tech., MCA, MSc., or MTech. Degree. Students in the final year of their degree program can also apply.
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7. Industrial Training in Artificial Intelligence and Data Analytics
CDAC offers a certificate course in industrial training on AI and data analytics in which you will learn about AI, data analytics, and their applications.
You will pick up skills in Python programming, data analysis, data visualization, and other relevant areas and learn to work with AI and data analytics tools.
You can complete this course in 26 weeks through 3 hours of sessions per day. The course curriculum includes Python programming for AI, mathematics for AI and data analytics, AI and data analytics fundamentals, exploratory data analysis (EDA) and data visualization, machine learning, deep learning, and AI and data analytics tools.
This course includes project work along with lots of industry-based case studies in healthcare, agriculture, and other domains.
To be eligible for this CDAC data science training program, you need a BE, B. Tech., MCA, MSc., or MTech. Degree. Students in the final year of their degree program can also apply.
8. Basic Certificate Course in Artificial Intelligence
CDAC offers a basic certificate course in AI that is designed to give you a quick introduction to all the key aspects of AI, machine learning, and computer vision.
You can complete this course in 1.5 months. The course curriculum includes AI basics, evolution, ethics, and applications of AI, stages of AI, intelligence and its traits, advantages and disadvantages of AI, and the future of AI.
You will also learn about machine learning fundamentals, types of machine learning, deep learning, natural language processing and its applications, computer vision and its applications, and image recognition.
You will also cover case studies based on AI and its applications in this course. To be eligible for this CDAC data science training program, you must have a basic knowledge of computers and the Internet.
9. PG Diploma in Advanced Computing (PG-DAC)
The Post Graduate Diploma in Advanced Computing course is CDAC’s most popular post-graduate course. It is designed for engineering, MCA, and MSc. graduates who wish to work in advanced computing.
This course aims to prepare students to keep pace with current and future technologies being used in the IT industry. This course has been designed with the help of CDAC’s rich R&D background and has been running successfully for 30 years. It has produced thousands of professionals who hold good positions in the IT industry today.
Upon completing this course, you will have acquired the skills to access and interpret information, use quantitative data and communication technologies effectively, and apply analytical skills to solve problems by using web technologies such as HTML 5.0, CSS, and JavaScript.
You will also be able to work with web-based enterprise applications and NET. You can complete this course in 24 weeks. The total duration of the sessions is 900 hours. This course will be delivered in either fully online or fully physical mode.
The course curriculum includes C++ programming, operating system and software development methodologies, object-oriented programming in Java, algorithms, and data structures (using Java), database and web programming technologies, web-based Java programming, Microsoft’s .NET technologies, and effective communication.
The course content is revised for every batch by changing requirements and trends in the IT industry, with the consultation of industry experts.
You will also complete project work in this course.
This course is available in multiple CDAC centers across India, in Bengaluru, Chennai, Guwahati, Hyderabad, Indore, Jaipur, Kolkata, Mumbai, Nagpur, Patna, Pune, Silchar, Thiruvananthapuram, and other cities.
You can avail of placement assistance in this program through CDAC’s centralized placement program which will be conducted in coordination with your training center. Through this program, CDAC will organize campus interviews in which you will be able to participate.
To be eligible for this course, you must be a graduate in computer science, electronics, IT, or any other discipline of engineering or possess an MSc. or MS in computer science, IT, computer application, mathematics, statistics, or physics, an MCA, or an MCM.
Students with a postgraduate degree in management who have completed their graduation in IT/computer science/computer applications can also apply. You must have a minimum score of 50% in your qualifying degree program.
10. PG Diploma in Mobile Computing (PG-DMC)
Learning mobile computing may serve as a good starting point for those who want to pursue careers in mobile data science in the future. Mobile data science involves processing large volumes of data and carrying out other data science tasks on mobile devices.
CDAC’s mobile computing course will help you gain valuable skills such as designing and building native mobile apps on Android and iOS and hybrid mobile apps through HTML5, CSS, and JavaScript. You will also learn to think creatively and analytically about computational problems.
You can complete this course in 24 weeks, with a total of 900 hours of theory, practical training, and project work. This course will be delivered in fully physical mode.
The curriculum for this course includes OS basics and Linux programming, DBMS basics, algorithms and data structures, object-oriented programming with Java, web-based Java programming, mobile programming, hybrid mobile apps programming, quantitative and logical aptitude, and effective communication.
You will also complete project work in this course. To be eligible for this CDAC data science training program, you must be an engineering or technology graduate in IT, computer science, electronics, telecommunications, electrical engineering, or instrumentation engineering or an MSc. in computer science, IT, or electronics, a postgraduate in mathematics, statistics, or related areas, or an MCA. You could also be a postgraduate in engineering (e.g., MSc. in computer science, IT, or electronics) with a corresponding Bachelor’s degree.
FAQs
1. What is CDAC?
CDAC (Centre for Development of Advanced Computing) is an R&D society for IT that is supported by the government of India’s Ministry of Electronics and Information Technology.
CDAC also offers certification courses and PG courses in various areas of computer science and IT, including data science, data analytics, AI, and machine learning.
2. In What Cities Are CDAC’s Training Centres Present?
CDAC has training centers in 15+ cities across India such as Bengaluru, Chennai, Kolkata, Mumbai, and New Delhi. You can check which CDAC course you want to pursue and select a center that offers that course.
If the course you select is offered through classroom training, you can avail of hostel facilities and other accommodation assistance at the center in which you attend the training. Many CDAC data science courses can also be completed through fully online training.
3. What Will I Learn in the CDAC Data Science Courses on This List?
The CDAC data science courses that we have mentioned here focus on AI, machine learning, big data analytics, and other industry-relevant aspects of data science. CDAC also offers an M. Tech. in Computer Science and Engineering that can give you a strong foundation for learning more data science skills and pursuing a data science career.
CDAC data science courses include case studies and project work that can help you gain hands-on training.
4. What is the Eligibility for Pursuing CDAC Data Science Courses?
Most CDAC data science courses require you to have a Bachelor’s or a Master’s degree in engineering (such as BE/B. Tech.) or a Master’s degree in mathematics, science, engineering, or related fields.
The Basic Certificate Course in Artificial Intelligence does not have any eligibility criteria and can be pursued by anyone with a knowledge of computers and the Internet. We have mentioned the detailed eligibility requirements of each CDAC data science training program in our list.
Conclusion
We hope this list of the top 10 CDAC data science courses helps you find the best courses for building skills that help you get ahead in your data science career. Picking up skills in data science, AI, machine learning, and other related areas is becoming a must for both current and aspiring professionals in this field.
CDAC has a strong background in computer science and IT research. Since computer science and programming knowledge form the foundation for data science, this makes CDAC a great institute for gaining data science skills.
