PW Skills Data Science and Analytics: Courses for Practical Skill Development

The current course options cover data analytics, data analytics with Gen AI, and data science with Generative AI combined with skill development. Each programme has a different learning format and focus.

1. Data Analytics with AI Course

Ideal For: Learners targeting analyst, business intelligence or data-driven decision-making roles who want to build a portfolio through hands-on analytics work.

Tools and Skills Covered: Excel with Copilot, SQL, Python (Pandas, NumPy), Power BI, Tableau, data visualisation, statistics fundamentals, AI-powered analytics tools, and 5 months of live + recorded learning with capstone projects.

What Makes This Course Different: This is an analytics portfolio builder where you work with realistic business datasets and practical analyst workflows. You can clean and explore data, build dashboards, validate findings and present insights through visual reports. The curriculum progresses from Excel and SQL fundamentals to Python and AI-powered analytics, helping you develop a complete analytics skill set.

What You'll Gain: A portfolio of data analysis projects, dashboards and visual reports built around realistic datasets, along with proficiency in Excel, SQL, Python, Power BI and Tableau.

2. Data Analytics with Gen AI (Offline Batch)

Ideal For: Learners who prefer classroom-based, in-person instruction with hands-on mentorship and structured offline learning in data analytics and Generative AI.

Tools and Skills Covered: AI-driven digital marketing, website development basics, brand positioning, e-commerce and Shopify integration, SEO, Google Ads, Meta Ads, YouTube Ads, Excel, SQL, Python, Power BI, Tableau, and 5 months of offline classroom learning.

What Makes This Course Different: The offline format provides classroom interaction, direct feedback and hands-on mentorship throughout the learning process. The programme also brings together analytics with e-commerce, Shopify, website development and digital marketing skills, giving learners exposure to both data-focused and business applications.

What You'll Gain: Classroom-based project experience, practical exposure to analytics and digital tools, and hands-on experience with areas such as website or Shopify store development, data analysis and visualisation.

3. Data Science with Generative AI Course

Ideal For: Aspiring data scientists, machine learning engineers and AI practitioners who want to build end-to-end data science and Generative AI applications.

Tools and Skills Covered: Python, statistics, machine learning, deep learning, NLP, MLOps, Generative AI concepts, 8 months of live + recorded learning, 4+ real-world capstone projects and a diverse project portfolio.

What Makes This Course Different: The course covers the data science lifecycle from data collection and preprocessing to model development, deployment and Generative AI applications. You can learn classical machine learning, deep learning, NLP and MLOps before applying Generative AI concepts to practical AI applications. The programme combines core learning with dedicated capstone work.

What You'll Gain: End-to-end data science projects, machine learning models, deep learning applications and Generative AI implementations, along with a portfolio of 4+ capstone projects.

You can compare the programmes by their learning format, primary focus and the type of data skills you want to develop.

The programmes accommodate different learning needs, from beginners starting with data analytics to professionals looking to add AI and machine learning skills.

• Beginners and freshers starting their journey in data science, analytics or AI
• College students building practical skills alongside their studies
• Working professionals looking to upskill or switch to data-driven roles
• Business analysts, finance professionals and MIS executives who want to add analytics capabilities
• Entrepreneurs and business owners looking to build data-driven decision-making capabilities
• Existing analysts or data professionals who want to add machine learning, deep learning or Generative AI skills to their profile

PW Skills combines practical learning, instructor guidance, assessments and career-oriented resources to help you apply data skills through projects and regular practice.

• Industry Professional-Led Sessions
  Get guidance from qualified industry professionals through course sessions and practical learning activities.
• Career Assistance
  Prepare for interviews with guidance and opportunities to showcase your skills, where available.
• Learn Industry Skills
  Build familiarity with industry-relevant data tools and technologies with guided learning.
• Project Portfolio
  Work on practical projects and capstone activities that can contribute to a job-ready portfolio.
• Dedicated Peer Network
  Connect with other learners to exchange ideas, experiences and learning insights.
• Certification
  Eligible learners can receive course-specific certificates after meeting the applicable completion requirements.
• Live and Recorded Learning
  Depending on the programme, access live sessions, recorded lessons or offline classroom learning.
• Hands-on Practice
  Use coding exercises, projects, assignments and practical activities to strengthen your understanding.
• Doubt Support and Interactive Sessions
  Participate in doubt-solving and interactive learning activities to clarify concepts and improve your skills.
• Experienced Instructors
  Learn from instructors with experience in data science, artificial intelligence and analytics through lessons, practical examples and guided sessions.
• Regular Assessments
  Assessments and interactive activities help you practise concepts and track your learning progress.

PW Skills Data Science and Analytics focuses on helping you turn what you learn into practical, demonstrable work through real-world projects, capstones and guided practice. You can choose a programme based on the data skills you want to develop and the type of learning format that suits you.