A Career-Focused Best Data Science Course & Analytics With AI Built to Make You Industry-Ready

Yes. An integrated internship is part of Itvedant's Data Science & Analytics with AI course, managed through the Internship Manager on your Wingz portal. You work on real datasets and build portfolio projects such as SecureBank (SQL), Smart Retail (Python analytics) and IntelliMarket AI (machine learning). An internship strengthens your profile but does not by itself guarantee a job offer.

Itvedant's placement team works with 5,000+ hiring companies and has placed 3,500+ learners. Support includes profile and resume building, LinkedIn and portfolio guidance, mock interviews with 1:1 feedback, multi-industry interview preparation, one-click job applications through Wingz, and placement support after training. Full terms are in our published Placement Policy.

The average fresher salary for Itvedant learners is ₹2.5–4.5 LPA, and the highest salary offered to date is ₹19.5 LPA. Actual salary depends on your prior experience, role, city, interview performance and negotiation. Itvedant learners have been hired across 5,000+ companies, with an alumni network of 12,682.

Yes. Itvedant teaches Python and statistics from the fundamentals, with 80% practical training and only 20 seats per batch. You get 1:1 doubt resolution, a personalised career coach, and structured progress tracking through the 3A model - Attendance, Assignment and Assessment. Learners also practise on HackerRank and LeetCode.

Every Itvedant lecture is recorded and available for replay on your Wingz portal. In addition, a dedicated relationship manager arranges a replacement session with a trainer for the class you missed. You can also track progress, take AI-powered test series and access the Self Learning Hub on Wingz at any time.

Compare six things in any programme. Curriculum: 280+ live session hours across Excel, SQL, Power BI, Tableau, Python, ML, deep learning and GenAI. Practical work: 30+ case studies and projects, 80% practical. Mentoring: 1:1 doubt resolution, 20 seats per batch, trainers from Deloitte, Siemens and Hansa. Certifications: Itvedant, IBM, NSDC. Internship: integrated. Placement: 5,000+ hiring companies, rated 4.7 from 6,584 Google reviews.

Data Analytics focuses on reporting, dashboards and business insight from historical data. Data Science extends into statistics, machine learning and predictive modelling. Itvedant's Data Science & Analytics with AI course covers both in one 6-month track: Excel, SQL, Power BI and Tableau for analytics, then Python, machine learning and deep learning for prediction and automation.

Itvedant learners target roles such as Data Analyst, Data Scientist, Machine Learning Engineer, Business Analyst and AI/ML-related positions, depending on skills and portfolio. Your 30+ projects across retail, banking and hospitality datasets form your portfolio, and the integrated internship adds practical experience. Itvedant learners have been hired at Accenture, Capgemini, Cognizant, HDFC, Infosys, IBM and Tata Motors.

Python, SQL, statistics, data visualisation, machine learning and AI, plus real project experience. Itvedant covers all of these across 280+ live session hours, along with Excel, Power BI, Tableau and generative AI tools. Alongside technical skills, you get profile building, resume and LinkedIn guidance, and mock interviews with 1:1 feedback.

Data Science & Analytics with AI is suitable for learners who want to build careers in data analysis, machine learning, artificial intelligence, and business analytics. The course combines data science concepts with practical AI applications and career-focused learning. Learners can also explore related programmes such as Full Stack Development, DevOps with AWS, and Digital Marketing with AI based on their career goals.

Yes. Data science with AI can be a suitable career path for freshers interested in data, technology, statistics, and problem-solving. A practical programme can help learners develop skills through projects, tools, and real-world applications rather than theory alone. Learners can also explore Software Testing with AI, Cybersecurity & Ethical Hacking with AI, or Full Stack Development.