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A structured, IIT-Alumni-led program designed to build real-world skills. Learn through live classes, hands-on projects, and 1:1 mentorship.
See why TaknikAI stands apart with live mentorship, practical learning, career support, and a stronger learner experience.
Premium learning experience designed for serious career growth.
Often limited, inconsistent, or missing from traditional learning experiences.
From career confusion to interview-ready confidence, TaknikAI guides learners through live learning, real projects, mentorship, and career-building outcomes.
Learners start with uncertainty, limited direction, and a gap between current skills and career goals.
This is where the shift happens through live training, guided practice, real projects, and mentor support.
Learners move forward with stronger profiles, interview readiness, and better career opportunities.
A month-wise roadmap that shows exactly how learners move from Excel and business analytics to projects, interview preparation, and placement support.
Learn Python fundamentals, programming logic, data handling, automation basics, and practical coding workflows.
Learn database querying, joins, filtering, aggregation, business questions, and analytics-ready SQL logic.
Create dashboards, data models, reports, KPIs, and business storytelling through visual analytics.
Build data science foundations with statistics, data analysis, machine learning concepts, and practical datasets.
Learn GenAI tools, prompt engineering, AI workflows, practical use cases, and modern automation concepts.
Prepare with resume building, interview practice, project explanation, LinkedIn optimization, and placement guidance.
A premium learning experience designed with mentor-led classes, practical projects, career guidance, and AI-powered learning support.
Learn directly from experienced mentors through structured live sessions, doubt solving, and real-time guidance.
Build practical portfolio-ready projects based on real industry use cases, tools, workflows, and business problems.
Get support with resume building, interview preparation, career direction, and job-readiness planning.
Use AI-driven learning support to practice faster, understand concepts better, and improve your learning flow.
Explore every module in detail — what you will learn, how long it takes, what you will build, and what outcomes you can expect after completing the program.
Expected Outcomes
Use Python to clean, analyze, and work with data programmatically for practical use cases.
Expected Outcomes
Query structured data efficiently and solve business reporting problems using SQL confidently.
Expected Outcomes
Create polished Power BI dashboards and explain insights in a business-friendly way.
Expected Outcomes
Build a polished portfolio that clearly shows skills, projects, and job-readiness to recruiters.
Expected Outcomes
Become interview-ready with stronger answers, better confidence, and a clear personal pitch.
Expected Outcomes
Build clean spreadsheets, automate routine analysis, and create basic reporting dashboards confidently.
Explore all six certificates in the exact sequence shown, with clean image-first cards and certificate titles only.
Learn the tools used by analytics, business intelligence, data, and AI teams. Hover on each tool to see how it helps in real work.
Clean data, analyze reports, and build dashboards fast.
Why it matters
Excel is still used by almost every business team for quick analysis, reporting, and decision-making.
Query databases and extract business insights.
Why it matters
SQL helps you work directly with business data and answer real questions from large datasets.
Create business dashboards and visual reports.
Why it matters
Power BI turns raw data into executive dashboards, KPIs, and business storytelling visuals.
Build interactive charts and visual analytics.
Why it matters
Tableau helps create clean, interactive visual stories for data exploration and presentations.
Analyze, automate, and work with data programmatically.
Why it matters
Python gives you power to clean data, automate tasks, run analysis, and build scalable workflows.
Use AI for faster learning, analysis, and productivity.
Why it matters
Learn prompting, research support, report writing, code help, and faster problem solving with AI.
Showcase projects and maintain your work professionally.
Why it matters
GitHub helps you present your projects, code, notebooks, and portfolio to recruiters clearly.
Use modern AI tools to improve workflows and output.
Why it matters
AI tools make you more productive in analysis, documentation, automation, and business problem solving.
Work on practical analytics projects that show your skills in dashboards, business problem solving, data storytelling, and decision-making.
Industry: Retail
Business Problem: Analyze sales trends, profitability and regional performance.
Industry: Telecom
Business Problem: Predict customers likely to leave.
Industry: Banking
Business Problem: Detect fraudulent transactions.
Industry: Enterprise
Business Problem: Answer questions from company documents.
Choose a certification preparation track and build the skills, projects, and exam-readiness needed for recognized analytics and BI credentials.
Prepare for Google’s data analytics pathway by building a strong foundation in data thinking, cleaning, visualization, and business communication.
Duration
6–8 Weeks
Tools Covered
Sheets, SQL, Tableau, R
Preparation Focus
Data cleaning, analysis process, dashboards, stakeholder communication
Get guided by mentors who bring real industry exposure, practical project experience, and career-focused learning support.
Featured Mentor
Current Role: Senior Data Science Mentor & Analytics Consultant
Experience
12+ years in Data Analytics, BI, and AI projects
Education
IIT Alumni · Data Science & Engineering Background
Focus Area
SQL, Power BI, Python, Business Analytics
Mentorship Style
Project reviews, career guidance, and interview preparation
Learn from professionals who bring real industry experience, practical project knowledge, and career-focused mentorship.
A smarter learning system that helps you practice faster, think better, automate repetitive tasks, and prepare for real analytics roles using AI.
> Practice analytics with guided AI support.
> Convert business questions into clear prompts.
> Prepare interviews with AI-assisted feedback.
> Automate reporting, research, and workflow tasks.
Use AI to simplify concepts, get instant explanations, revise topics faster, and practice with guided examples.
Learn how to ask better questions, create structured prompts, and get useful outputs for analysis and reporting.
Prepare with mock questions, answer improvement, project explanation practice, and AI-based feedback loops.
Learn to speed up reports, generate analysis ideas, automate repeated tasks, and improve business productivity.
A clear step-by-step student journey designed to help learners gain skills, build proof of work, prepare for interviews, and move toward better career opportunities.
Follow a complete route from skill learning to portfolio, certification preparation, interviews, and job opportunities.
Start with the right tools, concepts, and practical foundations.
Skill foundationApply learning through practical dashboards, analytics, and case studies.
Hands-on workGet proof of learning after completing modules and project work.
Verified learningBuild confidence for recognized certifications and skill validation.
Global readinessShowcase projects, dashboards, code, and case studies professionally.
Proof of workPractice questions, project explanations, and recruiter-ready communication.
Job confidenceMove toward better roles with skills, portfolio, and interview readiness.
Career outcomeFinal Outcome
Display real certificate images for core TaknikAI skill tracks and highlight external certification preparation pathways for Google, Microsoft, and IBM.
Certificate image for Excel data cleaning, formulas, pivot reporting, and dashboard practice.
Certificate image for SQL querying, joins, aggregations, reporting, and business data extraction.
Certificate image for Power Query, dashboard design, DAX KPIs, and business intelligence reporting.
Certificate image for Python fundamentals, Pandas workflows, EDA, and analytics automation.
Certificate image for completing a portfolio-ready business analytics capstone project.
Also Display
Preparation route for Google Data Analytics style learning: analytics process, data cleaning, visualization, and communication.
Preparation route for Microsoft Excel Expert and Power BI focused learning: dashboards, DAX, Power Query, and reporting.
Preparation route for IBM Data Analytics style learning: SQL, Python basics, visualization, and business datasets.
A founder-led message showing the story, learning vision, welcome video, and direct guidance options for learners.
The idea behind TaknikAI is simple: students should learn tools, build projects, prepare portfolios, and become interview-ready.
The founder built this platform to close the gap between traditional learning and actual industry expectations. Every module is designed around execution, mentorship, and career clarity.
From Excel, SQL, Power BI, Python, AI tools, dashboards, portfolio building, and interview preparation — the focus remains on creating visible proof of skill.
To make modern analytics and AI-assisted learning accessible, practical, project-based, and career-focused for students and working professionals.
Explore real screenshots of the student platform including LMS access, progress tracking, assignments, and recorded classes.
Explore LMS access, progress tracking, assignments, and recorded classes through real student dashboard screenshots.
Learning Management System
A centralized learning area where students access modules, lessons, resources, and course material.
A structured placement engine that helps learners prepare their profile, improve interview readiness, access referrals, and handle final offer discussions.
Create a clean, role-focused resume that highlights skills, tools, projects, and measurable outcomes.
Profile FoundationImprove headline, summary, projects, skills, and profile positioning for better recruiter visibility.
Online PresencePractice common interview questions, project explanations, case discussions, and communication structure.
Interview PracticePrepare for HR rounds, salary discussions, career gaps, introductions, and behavioral questions.
HR ReadinessGuide learners toward referral-ready profiles and help them understand how to approach opportunities.
Opportunity AccessHelp learners understand offer terms, salary discussion basics, joining timelines, and negotiation confidence.
Final ConversionFinal Outcome
A compact view of placed learners, hiring roles, salary packages, and joining timelines.
₹6.1 LPA
Software Engineer
₹7 LPA
Data Analyst
₹9 LPA
Risk Analyst
₹6.5 LPA
Data Engineer
₹6.3 LPA
Business Analyst
₹7.6 LPA
Associate Data Engineer
₹5.4 LPA
Decision Analytics Associate
Join active learner groups, alumni discussions, referral updates, and peer support channels designed to keep students connected beyond classes.
A structured outcome section showing how learners move from skill development to certification readiness, portfolio building, interviews, and career support.
Build practical analytics skills through tools, assignments, and guided learning modules.
Prepare learners for internal certificates and global certification pathways.
Convert learning into visible proof through dashboards, reports, and business case studies.
Practice project explanations, technical questions, HR responses, and communication.
Support learners with resume, LinkedIn, placement readiness, referrals, and career direction.
Final Career Outcome
Showcase the hiring ecosystem across technology companies, consulting firms, analytics leaders, and fast-growing brands where learners can build practical careers.
Explore real student journeys-from previous roles and salaries to career-changing opportunities, salary growth, video testimonials, and verified LinkedIn profiles.
Hear from learners building practical skills through live classes, mentor guidance, portfolio projects, and career-focused preparation in Data Analytics, Data Science, and Generative AI.
The Generative AI modules helped me understand how LLMs are used in real products. Building practical AI projects made the learning stronger and gave me examples I could discuss confidently.
The course structure was clear and mentor support was helpful. I liked the assignment-based approach because it forced me to build real dashboards.
I was weak in SQL before joining. The live classes, practice questions, and project examples helped me explain my work better in interviews.
The portfolio guidance was the best part. I finally had projects I could show confidently instead of only saying I had learned the tools.
Good practical course for reporting and analytics. The mentor feedback helped me improve my resume and explain dashboards properly.
The live sessions and project-based learning made Data Science easier to understand. Mentor feedback helped me improve my approach and present my work more confidently.
Take the first step toward practical analytics skills, portfolio projects, interview preparation, and career support with TaknikAI.
Book a free consultation or download the curriculum to understand the complete learning path.
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Read MoreYes, the program provides dedicated placement and internship support,
including referral assistance, job application guidance, and interview
preparation to help you secure opportunities in top companies.
You will work on real-world, industry-relevant projects such as predictive modeling and generative AI applications, which can be added to your portfolio and showcased during interviews.
You can get started by contacting us through our website, where our team will understand your requirements and propose a tailored AI-driven solution.
Courses like DSA and DSML stood out because they’d provide you with every resource possible to enhance your…
Taknik’s Data Science and Machine Learning program is considered one of the best data science courses because-
Yes, you have the flexibility to attend Data Science online course on a part-time basis. In case you miss a live class, you can always access the recorded sessions. You can also take a break of up to 3 months, all this within the course duration.
While designing the Data Science course, we did not put any limit on the duration. We included each and every concept that is important for making you a strong Data Scientist and ML Engineer. The course turned out to be 15 months long with more hands-on experience.
Live classes are held 4 times a week, primarily in the late evening or night on weekdays to accommodate working software engineers. Weekend timings are flexible.
We included each and every concept that is important for making you a strong Data Scientist and ML Engineer. The course turned out to be 3 months long with more hands-on experience.
Notice that the course is quite rigorous; each week you will have 4 Live lectures of 1.5 hours each, homework assignments, business case project, and discussion sessions. This allows us to cover the entire depth and breadth of Data Science & Machine Learning, as much as is required for you to succeed in the role.
Yes, there is an eligibility interview called the Taknik Screening Call for enrolling in Data Science program.
In Data Science certification course, you’ll acquire a wide range of skills, including:
Data Science and Machine learning program is open to both freshers and working professionals who are comfortable and confident with 10 standard aptitudes and mathematics.
A coding background is not required to enroll in this Data Science training. You can start from the Beginner module in which we will cover the basics of coding.
In fact, prior knowledge in Data Science or ML is also not needed. We will cover all the relevant topics from scratch.
The only prerequisite is that you should have a basic understanding of 9th and 10th-grade school maths – just the basics, nothing advanced. Still, we will cover these topics in class, but some prior knowledge would be helpful.
Data science is a field of computer science that uses various algorithms, methods, and machine learning to uncover hidden and meaningful insights in both structured and unstructured data.
Data science can be challenging, as it requires a solid understanding of mathematics, statistics, and programming. However, with dedication and the right resources, it’s accessible to those willing to learn.
A data scientist is an expert in data science who specializes in collecting and analyzing large amounts of data from diverse sources. They use their skills in mathematics, statistics, and computer science to help organizations make informed decisions based on data analysis.
To become a Data Scientist, follow these steps:
A Data Scientist designs new data approaches, while a Data Analyst interprets existing data. Data Scientists create innovative ways to collect and analyze data, while Data Analysts extract insights from available data.
Yes, Data Science is an excellent career choice in 2025. The field is growing rapidly, with high demand for professionals due to its continued relevance and the increasing importance of data-driven decisions.
After completing the data science course, you can explore various job roles, including:
Top companies like Amazon, Google, IBM, Oracle, Deloitte, Facebook, Microsoft, Wipro, Accenture, Visa, Bank of America, and Fractal Analytics are actively hiring data scientists.
We are committed to supporting our students in their career journeys through extensive placement support and our network of 900+ partner companies. While we do not provide job guarantees, we offer valuable resources and training to improve job prospects.
Our students benefit from personalized career guidance, regular mentorship, interview preparation assistance, resume building support, and mock interviews conducted by industry experts. The active community, with over 40,000 members, provides networking opportunities and continuous support.
Notably, our DSML alumni have secured a median salary hike of 110% and medium CTC of INR 18 lakhs per annum.
Take a look at the Scaler Career Assessment Report audited by B2K Analytics for more insights.
To earn Data Science certification, you need to successfully complete all the required course modules, assignments, and projects. You’ll be assessed based on your performance throughout the program.
Taknik’s Data Science certification is a lifetime certification, meaning it doesn’t expire. Once you earn it, you can proudly showcase your expertise in data science throughout your career.
We are providing certificates to all the learners after the end of the program
Taknik’s Data Science certification is highly regarded in the industry. It’s recognized for its comprehensive curriculum and hands-on approach, making you job-ready.
If you miss a lecture, you can still watch it offline, and it won’t affect your attendance.
Yes, you can access course materials and lectures for up to 6 months after completing the course.
If you find it challenging to balance your job or schedule with class timings, you can catch up by watching the recorded lectures, as classes are held four times a week
Our program is instructor-led, ensuring you have guidance and support throughout your learning journey.
All the Maths required for understanding and implementing algorithms will be covered in this Data Science training (Probability, Statistics, Linear Algebra, Calculus, Coordinate Geometry).
We offer multiple support channels for students, including WhatsApp groups for collaboration, dedicated problem-solving support on the dashboard, and Scaler support through chat and phone for any concerns or queries.
Yes, there is a community where students can interact and collaborate with each other.
Our community has people working worldwide. The bottleneck is in getting a visa sponsorship. Many companies based in India offer opportunities for their high-performing employees to work on international data science projects and relocate. Some international companies also hire directly in India and ask to relocate for jobs. However, with the surge in WFH, this trend may be ebbing. However, you can continue applying for remote data science jobs based outside India via LinkedIn.
For learners who show interest in publishing in the data science domain, we would be happy to provide mentorship and support.
Masters and Ph.D.s are typically asked for Research-focused data science roles. Most companies do not require a Master’s degree for a Data Science role.
Book a free career consultation call.
