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Learn Data Science & AI from Pro Trainers worked with Top Brands.
Learn most demanding Data Science Course with cent percent internship.
Offline Classroom and Online
Weekdays & Weekends Regular Track and Fast Track
Program Highlights
6-18 Months Diploma
Regular Classes by Industy Professionals
Assured Internship and Placement Assistance
15+ Projects
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Our Comprehensive Certificate and Diploma Courses are all it takes you to become an Expert Data Scientist.
Our expert team at TGC will make you learn everything from the foundation of Data analytics to advanced data Science, Machine Learning and AI techniques followed by real-life problem solving assignments helping you dive deeper into the roles & responsibilities of a Data Analyst.
MODULE 1
Introduction to Data Science, Machine Learning, and AI
- Objective: Introduce the fundamental concepts and landscape of data science, machine learning, and artificial intelligence.
- Content Outline: Overview of the data science industry, history of machine learning and AI, understanding the data lifecycle, and the role of AI in modern business.
- Outcome: Understand the key concepts in data science, machine learning, and AI, and their impact on various industries.
MODULE 2
Data Collection and Preprocessing
- Objective: Lay the groundwork with basic data collection and preprocessing techniques.
- Content: Introduction to data collection methods, data cleaning, handling missing values, data transformation, and data integration.
- Outcome: Develop skills in collecting and preprocessing data to ensure it is ready for analysis and modeling.
MODULE 3
Statistical Analysis and Visualization
- Objective: Dive into statistical analysis and data visualization techniques.
- Content: Basics of descriptive and inferential statistics, probability distributions, hypothesis testing, introduction to data visualization tools (such as Tableau, Power BI), and creating effective visualizations.
- Outcome: Perform statistical analyses and create meaningful data visualizations to communicate insights.
MODULE 4
Programming for Data Science (Python/R)
- Objective:Master the use of programming languages for data science.
- Content: Introduction to Python or R, data structures, libraries for data analysis (pandas, numpy, dplyr), data manipulation, and scripting for data science tasks.
- Outcome: Write programs and use relevant libraries to perform data analysis and prepare data for machine learning.
MODULE 5
Introduction to Machine Learning
- Objective:Understand the fundamentals of machine learning.
- Content:Introduction to machine learning concepts, supervised and unsupervised learning, basic algorithms (linear regression, decision trees, k-means clustering), and model evaluation.
- Outcome: Build and evaluate simple machine learning models to analyze data.
MODULE 6
Advanced Machine Learning Techniques
- Objective: Master advanced machine learning techniques.
- Content: Advanced algorithms (random forests, support vector machines, neural networks), deep learning basics, natural language processing, and reinforcement learning.
- Outcome: Apply advanced machine learning techniques to complex datasets and build robust models.
MODULE 7
AI and Deep Learning
- Objective: Dive deep into artificial intelligence and deep learning.
- Content:Introduction to neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and using frameworks like TensorFlow and PyTorch.
- Outcome: Develop and train deep learning models for various applications.
MODULE 8
Big Data Technologies
- Objective: Understand big data technologies and their applications.
- Content: Introduction to big data concepts, Hadoop ecosystem, Apache Spark, distributed computing, and handling large-scale data.
- Outcome: Use big data technologies to process and analyze large datasets efficiently.
MODULE 9
AI Ethics and Governance
- Objective: Learn about the ethical considerations and governance in AI.
- Content: Ethical implications of AI, bias in AI, AI regulations and policies, and best practices for responsible AI development.
- Outcome: Understand the ethical and regulatory landscape of AI and implement ethical AI practices.
MODULE 10
Portfolio Development and Industry Preparation
- Objective: Prepare for entering the data science, machine learning, and AI industry.
- Content: Portfolio development, creating case studies, understanding industry roles and responsibilities, networking, and job search strategies.
- Outcome: Ready for job applications, with a strong portfolio showcasing a wide range of projects.
MODULE 11
Internship Project
- Objective: Gain practical experience through an internship.
- Content: Internship placement in tech companies or research institutions, real-world project work, professional feedback, and mentoring.
- Outcome: Apply learned skills in a professional setting and gain valuable industry experience.
MODULE 12
Final Project and Industry Transition
- Objective: Finalize preparation for transitioning into the data science, machine learning, and AI industry.
- Content: Capstone project from concept to final presentation, industry standard practices, final portfolio and project refinement, job interview preparation.
- Outcome: Successfully complete a significant personal or group project and confidently approach job interviews in the data science, machine learning, and AI field.
Learn and Navigate through the future - Use AI to your advantage
Exclusive Module on Leveraging AI & ChatGPT for Data Science, Machine Learning, and AI
At DataScience Training Institute (Powered by TGC), we integrate leading AI tools and ChatGPT to advance your data science journey. Our curriculum offers hands-on experience with:
- AI-enhanced analysis and automation.
- Technologies like Google AI, IBM Watson, and ChatGPT for advanced data analysis, predictive modeling, and NLP.
- Learning how to create innovative models and automate complex processes.
- Extracting valuable insights from data to enhance your expertise.
- Ensuring your skills remain competitive and market-relevant.
Embrace the future of data science with TGC, where AI propels your analytical potential.
Learn to use these tools effectively
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Who is this program for?
10+ 2 students
Graduates
Designers
Content creators
Video editors
Game enthusiast
Graphic designers
Animators
How does the program work?
Offline and Online Weekdays and Weekends Live Classes
Get Recording of sessions
Industry Case studies and Projects
Ebook and Videos
Master Sessions by Industry Professionals
What students will achieve at the end of the course:
Proficiency in crafting effective data science, machine learning, and AI strategies using leading industry software and tools, ready for various applications.
The ability to merge analytical skills with technical knowledge to build robust models that drive insights and decision-making.
Expertise in delivering high-quality, scalable data science and AI projects, utilizing current industry standards and innovative practices, including AI-enhanced analytical tools and techniques.
Preparedness for the data science, machine learning, and AI job market, equipped with a comprehensive portfolio showcasing a wide range of projects, including those with advanced AI integrations.
Other Program Details
Advanced Diploma in Animation and VFX
Gain mastery over both fundamental and advanced techniques in animation and visual effects, preparing for creative roles in film, television, and digital media.
Advanced Diploma in 2D, 3D Animation, and Game Art
Dive deep into the world of animation, learning cutting-edge 2D and 3D animation techniques alongside game art design, readying you for the gaming and animation industry.
Bachelor's in Animation and Multimedia
This comprehensive degree blends theoretical knowledge with practical skills in animation, multimedia, and digital arts, equipping you for a versatile career in creative industries.
Advanced Diploma in Visual VFX
Specialize in visual effects with a focus on the latest VFX tools and techniques, aimed at crafting breathtaking visuals for movies, TV, and online content.
Advanced Certification in Video Editing and Motion Graphics
Master the art of video editing and motion graphics, learning to blend visual storytelling with technical expertise, ideal for careers in media, advertising, and content creation.
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More Courses at TGC
Design
Graphic Design, Web Design, UI UX Design, Animation and VFx
Content Creation
Photography, Music Production, Digital Marketing, Game Design
FAQs: Here’s everything you may ask...
Who is this Course for?
This program is tailored for those aspiring to excel in the data science, machine learning, and AI industry, ranging from beginners seeking foundational knowledge to intermediate learners aiming to enhance their skills.
Are there any prerequisites for this program?
A basic understanding of computers and the internet is recommended, but there are no stringent prerequisites.
Is this a Job Guarantee Program?
Yes, TGC offers a job guarantee program. Graduates meeting our criteria are assured a position in the data science, machine learning, and AI sector.
What’s included with the program?
The program encompasses comprehensive training in data science, machine learning, and AI, live sessions, mentorship, hands-on project work, job placement support, and access to our vibrant community.
Who are your placement partners?
TGC has established partnerships with leading tech companies, research institutions, and businesses to secure exciting job opportunities for our graduates.
When will I get my Certificate?
Your Certificate will be awarded upon successful completion of the course and all related projects.
Can beginners with no prior experience in data science or AI enroll?
Absolutely! Our course is crafted to transition you from novice to job-ready in the data science, machine learning, and AI field, irrespective of your initial skill level.
What software and technologies will I learn?
You'll become proficient in industry-standard software and technologies. The most advanced course may use a combination of Python, R, SQL, TensorFlow, PyTorch, Hadoop, and popular AI tools like Google AI and IBM Watson.
Is there any career support after completing the course?
Yes, we provide career counseling, resume and portfolio reviews, mock interviews, and direct introductions to our network of employers in the data science, machine learning, and AI industry.
Do you offer any scholarships or financial aid
Yes, TGC offers scholarships for eligible candidates and flexible payment plans to make the course accessible to a wide audience
How is the course content delivered?
The course content is delivered through a blend of offline classroom courses, interactive exercises, video tutorials, live coding sessions, and real-world project work.
Will there be any real-world projects?
Indeed, you'll engage in multiple real-world projects throughout the course, building a comprehensive portfolio to showcase your data science, machine learning, and AI talents to potential employers.
What makes TGC's data science, machine learning, and AI course unique?
Our course stands out due to our job assistance, personalized mentorship, hands-on project experience, and a thriving community of analytical professionals.
How do I know if data science, machine learning, and AI are right for me?
If you have a passion for analyzing data, enjoy problem-solving, and are fascinated by the power of AI to drive insights and automation, a career in data science, machine learning, and AI might be the perfect fit for you!
What is the student-to-mentor ratio?
We ensure a low student-to-mentor ratio to guarantee personalized attention and an enhanced learning experience.
Are there any group projects?
Yes, collaborative projects with peers are a key part of the course, reflecting real-world team dynamics in the data science, machine learning, and AI industry.
Can I work while taking this course?
Certainly, our course offers flexible scheduling and part-time options, accommodating those who are working while learning.
