Data Science, AI, and Machine Learning with Python
- Description
- Curriculum
- FAQ
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Are you ready to kickstart your journey into the exciting world of Data Science, Machine
Learning, and Artificial Intelligence? This comprehensive course is designed to equip you with
practical, hands-on experience in Python programming, tailored specifically for data analysis
and predictive modeling. Whether you're a beginner looking to build a strong foundation or an
aspiring data scientist aiming to enhance your skills, this course will guide you through every
step, from setting up your Python environment to mastering advanced concepts like Machine
Learning and AI. By the end of this course, you'll have the confidence and expertise to tackle
real-world data challenges and unlock endless career opportunities in this ever-growing field.
What You’ll Learn
- Gain a solid foundation in Data Science, Artificial Intelligence, and Machine Learning.
- Set up and navigate the Python programming environment.
- Dive into Python programming tailored for AI, Data Science, and Machine Learning applications.
- Learn techniques for importing and managing data.
- Explore Exploratory Data Analysis (EDA) and Descriptive Statistics.
- Develop expertise in Probability Theory and Inferential Statistics.
- Create impactful Data Visualizations using Python libraries.
- Master Data Cleaning, Manipulation, and Pre-processing with Python.
- Understand and implement Predictive Modeling and Machine Learning techniques.
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3Lecture 3: Variables, Data Types, Data Structures, Methods in Python (Part 1)05:00
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4Lecture 4: Variables, Data Types, Data Structures, Methods in Python (Part 2)05:00
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5Lecture 5: Variables, Data Types, Data Structures, Methods in Python (Part 3)05:00
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6Lecture 6: Variables, Data Types, Data Structures, Methods in Python (Part 4)05:00
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well-positioned to join this thriving industry, with opportunities to work in cutting-edge fields such as deep learning, natural language processing, computer vision, and predictive analytics. Ready to unlock your potential and step into one of the most exciting and rewarding careers of the 21st century? Join us today!

Archive
Working hours
Monday | 9:30 am - 6.00 pm |
Tuesday | 9:30 am - 6.00 pm |
Wednesday | 9:30 am - 6.00 pm |
Thursday | 9:30 am - 6.00 pm |
Friday | 9:30 am - 5.00 pm |
Saturday | Closed |
Sunday | Closed |