In this comprehensive data science course, you will learn how to program in Python, manipulate and analyze data using libraries like Pandas and NumPy, visualize data with Matplotlib and Seaborn, understand and apply statistical and probability concepts, write SQL queries to manage databases, build and evaluate machine learning models, work with real-world datasets, practice ethical data handling, and complete a capstone project to demonstrate your end-to-end data science skills.
This beginner-friendly Data Science course is designed for recent bachelor’s graduates from any discipline who want to build a strong foundation in data science and analytics. The course covers essential tools and concepts including Python programming, data wrangling, statistical analysis, machine learning, data visualization, and working with real-world datasets. Through hands-on exercises, real-life case studies, and a final capstone project, students will gain the practical skills needed to explore data, extract insights, and build predictive models—preparing them for careers in data analytics, AI, and beyond.
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I am Akhilesh Kumar Shah. After completing my M.Tech from the National Institute of Technology, Warangal, I worked as an Assistant Professor at Chandigadh University and later moved to Galgotias University as a Technical Trainer. I started my career as a Database Administrator at Webbook in Kathmandu and later gained experience as a Machine Learning intern at Feynn Labs. I am passionate about the fields of Data Science and Data Engineering and aim to use my skills to drive innovation and create impactful solutions. During my Machine Learning experience, I gained hands-on experience in Data Science and Analytics, working on predictive modeling and data analysis projects. I have developed a strong understanding of various data processing, analysis, and visualization techniques, which I integrate into my work. I value ongoing learning, collaboration, and sharing knowledge, both in building solutions and mentoring others. I believe that mentorship and support are crucial for professional growth, and I am committed to offering this to others in my field.
