Description
Introduction to Data Science
Course Overview:
This course introduces beginners to the data science lifecycle using Python. Learn how to clean, analyze, and visualize data.
What You’ll Learn:
– Data analysis with Pandas and NumPy
– Data visualization with Matplotlib
– EDA and statistics
– Simple machine learning with Scikit-learn
Course Structure:
10 Modules from Python basics to a real-world capstone project.
Duration: ~40 hours
Final Statement:
Complete this course with the ability to extract insights from data and a strong foundation for machine learning or data analysis careers.
Olusola –
“This Introduction to Data Science was fantastic! The content was easy to understand, even for someone with no prior experience. I especially appreciated learning how to use NumPy, Pandas, and Matplotlib in Python. The modules on data cleaning and statistical concepts were incredibly practical, and I was surprised at how quickly I could build basic machine learning models. A really worthwhile learning experience.”
Kikelomo –
“This ‘Introduction to Data Science’ was fantastic! The instructor clearly explained complex concepts, making data analysis and visualization accessible even for beginners. I especially appreciated learning how to use NumPy, Pandas, and Matplotlib in Python. The focus on data cleaning, statistical applications, and building basic machine learning models with real-world examples was invaluable. A worthwhile educational experience that provided a solid foundation in the field.”
Safiya –
“This ‘Introduction to Data Science’ program was fantastic! As a complete beginner, I found the material easy to understand, and the explanations of Python libraries like NumPy and Pandas were excellent. I especially appreciated the focus on practical data cleaning and the chance to build simple machine learning models. It’s given me a solid foundation and the confidence to continue exploring this exciting field.”
Lilian –
“This “Introduction to Data Science” was fantastic! The instructor clearly explained complex topics like data cleaning, statistical concepts, and building basic machine learning models. I especially appreciated the hands-on exercises using Python libraries like NumPy, Pandas, and Matplotlib; they really helped solidify my understanding. I walked away feeling confident in my ability to analyze and visualize data, and ready to tackle more advanced data science projects. A truly valuable learning experience!”
Wisdom –
“This ‘Introduction to Data Science’ was fantastic! It covered a lot of ground, from basic data manipulation using Python to applying statistical concepts and building simple machine learning models. The content was well-structured and easy to understand, even for someone with limited prior experience. I especially appreciated how practical the examples were, allowing me to apply what I learned to real-world data. It’s a great starting point for anyone wanting to explore the field.”
Cynthia –
“This Introduction to Data Science offering was fantastic! As a complete beginner, I found the material easy to grasp, and the explanations were clear and concise. I especially appreciated the practical exercises using NumPy, Pandas, and Matplotlib. It gave me a solid foundation in data cleaning, preparation, and basic machine learning. Now I feel confident exploring data science further and applying these skills to real-world problems.”