Advanced training in Data Science & Machine Learning with AI

  • Industry Expert-Designed Course
  • Unlimited Doubt Session
  • Benefit from industry specialists' views and skills with specific training.
  • Mock Test/ Written Test (Monthly, Weekly)
  • Digital Certificate after course completion
  • ISO Certification and NASSCOM Certified
  • Interview scheduling.
  • 100% Placement Assistance
Course Duration 7 Months
Assistance100% Placement Assistance
Course FeeLowest in the market
MentorIndustry Experts

About Program

Our Advanced Training in Data Science and Machine Learning accelerates your mastery of Python, data analysis, and machine learning. Covering tools like scikit-learn, matplotlib, and bokeh, the hands-on curriculum addresses real-world data challenges. Tailored for Python users, the fast-paced course offers weekday (1 hour/day) and weekend classes (2.30 hours on Sat/Sun) to accommodate working professionals. Ideal for those primed for advanced data science and machine learning before exploring big data or deep learning in Python.

Course Summary

Embark on a transformative journey in the realm of data science and analytics with our comprehensive course. Designed for both beginners and seasoned professionals, our program is a gateway to mastering the essential skills needed in this data-driven era.

Key Features:

1) Foundational Concepts

2) Machine Learning Mastery

3) Data Visualization Proficiency

4) Real-World Applications

5) Advanced Analytics Techniques

6) Big Data Integration

7) Ethical Considerations

8) Industry-Relevant Tools

9) Continuous Learning Support

10) Career Development

What You Could Become

Embark on a transformative journey into data science and machine learning with our program, unlocking diverse career paths such as Data Scientist, Machine Learning Engineer, Data Analyst, BI Analyst, AI Research Scientist, Big Data Engineer, AI Product Manager, AI Consultant, Data Science Instructor, or Freelance Data Scientist/Consultant. Equip yourself with sought-after skills, shape innovation, and guide businesses into the AI era. Your dynamic and impactful career in the data-driven landscape starts here!

Increased job prospects:

Catapult your career with our "Advanced Training in Data Science and Machine Learning" program. Attain leadership positions like CDO or Head of Data Science, addressing industry challenges in healthcare, finance, e-commerce, and automobiles. Innovate as a data scientist or push boundaries as an AI research scientist. This program paves the way to lucrative and impactful career opportunities...

Course Highlights

Reviewing and reinforcing your learning after each class is crucial for comprehension and retention.
Monthly mock tests mirror real scenarios, providing insights into your progress, vital for personal and academic growth.
Enhance learning with concise notes and real-life examples. Engaging classes simplify complex concepts, ensuring efficiency.
Dedicated Placement Cell guarantees 100% assistance for a seamless transition into the workforce post-course completion.
Empower innovation with data science and AI, creating impactful outcomes through advanced technological applications.

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Meet your Educators & Mentors

Our Curriculum

Module 1Foundations of Data Science and Machine Learning
Overview of Data Science and Machine Learning concepts.
Understanding data types, structures, and data preprocessing.
Exploratory Data Analysis (EDA) techniques.
Module 2Advanced Statistical Techniques
In-depth study of statistical methods for data analysis.
Bayesian statistics and inference.
Time series analysis and forecasting.
Module 3Machine Learning Algorithms
Supervised learning algorithms (e.g., linear regression, support vector machines, decision trees).
Unsupervised learning algorithms (e.g., clustering, dimensionality reduction).
Ensemble methods (e.g., random forests, boosting).
Module 4Deep Learning
Neural network architectures and design principles.
Convolutional Neural Networks (CNNs) for image data.
Recurrent Neural Networks (RNNs) for sequential data.
Transfer learning and pre-trained models.
Module 5Natural Language Processing (NLP)
Text processing and tokenization.
Sentiment analysis, named entity recognition.
Building chatbots and language models.
Module 6Feature Engineering and Model Evaluation
Techniques for feature selection and extraction.
Cross-validation and hyperparameter tuning.
Model evaluation metrics and their interpretation.
Module 7 Big Data Technologies
Introduction to distributed computing and big data frameworks (e.g., Apache Spark).
Handling large datasets and parallel processing.
Module 8 Data Visualization and Communication
Effective visualization using tools like Matplotlib, Seaborn, and Tableau.
Communicating findings to both technical and non-technical audiences.
Module 9 Ethical and Responsible AI
Understanding bias and fairness in machine learning models.
Ethical considerations in data collection and usage.
Explainability and interpretability of models.
Module 10Real-world Projects and Case Studies
Practical application of skills through industry-relevant projects.
Exposure to real-world datasets and challenges.
Collaboration and teamwork in solving complex problems.

Admission Process

Secure admission to the Certification Course through a simple four-step process.


Evaluation and Selection

We carefully assess your application and qualifications, considering education, experience, and program goals. Admission status will be confirmed upon review.



Visit our program's website to apply, complete online application, provide name, contact info, and birthdate, education: List your highest degree, institution, and major/field, apply with relevant work experience to boost your chances, discuss your program interest, job aspirations, and course fit.



For administrative purposes, pay the application fee - INR 1,999. The webpage lists fees and payment methods. We reserve your position in the following course upon application submission, ensuring availability during review


Acceptance Letter

Check your mailbox or email for our acceptance letter. This letter includes important admission information, including any additional steps or payments.

Why Techeir?

At Techeir, we believe that knowledge is the key to unlocking the future. Our mission is to empower learners like you with the skills and expertise required to thrive in the dynamic world of technology.

Supportive Community

Supportive Community

Techeir connects students to a supportive community. Resources include mentoring, networking, and learning.

Thorough Curriculum

Thorough Curriculum

We plan our curriculum to give you a complete education. Mastering fundamental and advanced concepts will help you succeed.



We provide online and part-time courses for busy people. School and other obligations can be balanced with this flexibility.

Expert faculty

Expert faculty

Industry veterans and educators conduct our courses. Real-world industry specialists will teach you.

Practical Learning

Practical Learning

A hands-on approach. For employment preparation, our students work on real-world projects.

Job-Oriented Approach

Job-Oriented Approach

Our courses emphasize relevant skills and knowledge for today's competitive job market.

Specialisations and Electives

Specialisations and Electives

Tailor your courses to your interests and career goals. Customize your learning with this freedom.

Success Stories

The most hands-on, practical, and intensive coding-led courses to fulfill your ambitions.

Program Fee

Course Fee: Call Us Now!
Registration Fee: INR 0
Payment method: Monthly EMI option available at 0% interestApply NowUpcoming Application Deadline 26 Dec 2023Our Payment Partners:

What will you achieve?

  • Data Analyst in Business, Financial, Market Research or Operations.
  • Data Scientist: ML Engineer, AI Research Scientist, Big Data Engineer or Data Architect
  • Healthcare, Financial, E-commerce, Gaming Data Analyst/Scientist
  • Research Scientist or Data Science Educator
  • Freelance Data Analyst/Scientist or Data Science Consultant
  • Entrepreneurial roles or Chief Data Officer (CDO)

Frequently asked Questions

What prerequisites are required for the Data Science course at Techeir?

The course is designed for individuals with a basic understanding of programming and statistics. Familiarity with languages like Python is recommended.

What topics are covered in the curriculum?

The curriculum covers a comprehensive range of topics, including data analysis, machine learning, data visualization, and practical applications in real-world scenarios.

How long is the duration of the course?

The course duration varies, typically spanning 8 months. Participants can check the specific details on the Techeir website or contact our support team for more information.

Are there any hands-on projects as part of the course?

Yes, the course includes hands-on projects to reinforce theoretical knowledge, allowing participants to apply what they learn in practical scenarios.

What kind of support is provided during the course?

Participants receive continuous support from experienced instructors and have access to a dedicated online platform for resources, discussions, and additional learning materials.

Is there any certification provided upon completion of the course?

Yes, participants who successfully complete the Data Science course receive a certification from Techeir, validating their skills and knowledge in the field by ISO & NASSCOM.

Who teaches this program?

Guided by industry experts with over 15 years of experience, our program offers mentorship and knowledge to propel careers forward.

What career support is offered after completing the course?

Techeir provides career support, including resume assistance, interview preparation, and access to job placement resources to help participants transition into data science roles.

How can I enroll in the Data Science course at Techeir?

Interested individuals can visit the Techeir website, where they will find details on course enrollment, fees, and upcoming sessions. Enrollment can be completed online, and our support team is available to assist with any queries.