About this course
Data science and data analytics have become integral across nearly all sectors, both commercial and non-commercial. Their applications are numerous, and the examples/case-studies covered in this course represent just a glimpse of the potential they offer. Businesses across diverse industries leverage data science and big data to better understand their customers, streamline operations, optimize workforce performance, analyze competitors, and enhance products. These technologies also play a key role in improving user experiences and enabling strategies like cross-selling, up-selling, and personalized service delivery.
The global demand for data scientists and data analysts is growing rapidly, with the data science and analytics market projected to exceed USD 655 billion by 2029. Businesses across all industries rely on data professionals to gain insights, drive decisions, and enhance customer experiences. However, there's a significant talent gap—over 250,000 data-related roles remain unfilled worldwide, and nearly 70% of employers face challenges in hiring skilled professionals. This shortage exists not only in technical expertise like Python, SQL, and Machine Learning but also in critical thinking and business understanding. Developing regions, including Pakistan, are also witnessing a surge in demand, creating lucrative opportunities for trained individuals. Entry-level roles such as data analyst are abundant and serve as stepping stones to more advanced data science careers. As organizations continue to prioritize data-driven strategies, professionals with the right skills are in high demand. A short, focused training course like this can help bridge the skill gap and open doors to a high-growth, future-ready career path.
This is a cohort-based 1-month intensive course, synchronous mode of teaching, allowing for real-time interaction with the instructor during live sessions. The course includes live interactive sessions with the instructor, online-assessments, discussion on case-studies, hands-on experience on Python and Microsoft PowerBI, followed by an award of certificate by Bahria University.
Who Should Attend?
✅ Working Professionals — aiming to enhance their existing roles, add value to their organizations, or prepare for future career growth in data-driven roles
✅ Fresh Graduates (Engineering, Computer Science, Management Sciences, Life Sciences, Technologists & others) — looking to kick-start a career as a Data Analyst or progress towards becoming a Data Scientist
✅ Senior Undergraduate Students — from any discipline who want to add a highly in-demand skill set and stand out in the job market
✅ Career Switchers & Beginners — those who want to shift to the booming fields of AI, Machine Learning, Data Science, and Databases but don’t know where to start — this course is the perfect launchpad
✅ Freelancers & Aspiring Entrepreneurs — who want to gain in-demand data skills and leverage them for freelance projects, remote work, or startup ventures
✅ Alumni & Job Seekers — looking to re-skill or up-skill for new-age careers in data, analytics, and AI
✅ Anyone looking for a powerful combo course that merges AI, ML, Data Science, Databases, and practical, hands-on training in Data Visualization tool —all in 1 month!
Pre-Requisites
• Minimum 14 years of education in any discipline.
• A keen interest and motivation to learn is essential, as this course takes you from beginner to pro level, covering a wide range of concepts and hands-on skills.
• While prior knowledge of Mathematics, Statistics, and programming (e.g., Python or C++) is helpful, it is not mandatory — we will guide you throughout.
• However, since data science is a skill-intensive field, you must be willing to put in extra effort if you’re new to these areas.
• Personal drive and consistent practice are key to mastering the tools and concepts taught in this course.
If you're ready to become a Data Analyst and Data Scientist — enroll now and take the first step toward a promising career!
Start Date: 19 May 2025 Duration 4 Weeks
Vistit the Instructor Profile: Click Here