Data Science
Using Python
More Courses For You !
- Time Duration: 2-3 Months
- Skill Level : Advance Course
- Certificate : Yes
COURSE DESCRIPTION:
Looking to break into the world of data? The best Data Science using Python course at Unividya is the perfect starting point. This hands-on course covers Python basics and essential libraries like Pandas, NumPy, and Matplotlib to help you clean, analyze, and visualize data. You’ll also dive into machine learning with Scikit-learn and TensorFlow—working on real-world projects to build your confidence and skills. By the end, you’ll be ready to solve data problems and make smarter, data-driven decisions. Earn a professional certificate and build job-ready skills to kickstart your data science journey.
LEARNING OUTCOMES:
Master data wrangling, cleaning, and visualization techniques
Use Python libraries (Pandas, NumPy, Matplotlib) for real analysis
Apply machine learning algorithms like regression, clustering & classification
Work on real datasets to build projects and practical solutions
Earn a course completion certificate to validate your expertise
Develop practical data science skills to prepare for internships, jobs, or advanced study
Who Can Join?
The Data Science using Python course at Unividya is perfect for students, beginners, working professionals, or anyone curious about data.
No advanced math or coding background required! If you know basic computer skills and want to explore how data can drive smarter decisions—this course is a great fit for you.
What You’ll Learn!
In the Data Science using Python course at Unividya, you’ll:
Learn Python fundamentals for data handling
Analyze data using Pandas, NumPy & Matplotlib
Build ML models using Scikit-learn & TensorFlow
Clean and transform real-world datasets
Complete hands-on projects that showcase your skills
Earn a professional certificate to boost your resume and job-readiness
Develop core skills that prepare you for roles in data analysis, ML, or business intelligence
More Courses For You !
- Time Duration: 2-3 Months
- Skill Level : Advance Course
- Certificate : Yes
COURSE DESCRIPTION
The Data Science using Python course offers a comprehensive introduction to data science, focusing on practical skills. It covers Python basics and essential libraries like Pandas, NumPy, and Matplotlib for data analysis and visualization. Students learn data cleaning, exploratory data analysis, and machine learning techniques using Scikit-learn and TensorFlow. Hands-on projects with real-world datasets provide practical experience. By the end, learners are equipped to solve data-driven problems and make data-informed decisions in various professional contexts.
LEARNING OUTCOMES
- Understand the core concepts of data science, including data preprocessing, exploration, and visualization techniques.
- Gain proficiency in Python libraries such as Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization.
- Learn to apply statistical methods and machine learning algorithms (e.g., regression, classification, clustering) using Python.
- Develop skills in cleaning and transforming raw data to make it suitable for analysis and model building.
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast