Home »PYTHON FOR DATASCIENCE - PYDS
Course Overview
This course is designed to introduce Python programming to beginners, with a specific focus on its applications in data science. Python is one of the most popular languages in data science due to its simplicity and powerful libraries that make data analysis, visualization, and machine learning easier and more accessible.
By the end of this course, you will have a foundational understanding of Python and its key libraries, enabling you to start analyzing and visualizing data, as well as applying basic machine learning models.
Training Program Details
| Training Duration | - 24-26 Hours (Flexible Schedules)
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| Certifications: | - Python for Data Science Certification from American Institute of Professional Studies (AIPS), Washington D.C, USA.
- Python for Data Science Certification from Knowledge and Human Development Authority (KHDA) government of Dubai, UAE.
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| Examinations | - American Institute of Professional Studies (AIPS) 2 hours Pen Paper Exam.
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| Learning Aids | |
| Course Material | - Hard Copy of Study Material
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| Language of Instruction | |
| Instructor Helpline | |
| Registration Requirements | - Passport Copy
- Curriculum Vitae to assess eligibility
- 2 passport size photographs
- Course Fee
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| Mode of Payment: | - Cash / Cheque / Credit Card / Bank Transfer.
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Who needs this course?
- Beginners in programming or Python who want to apply Python to data science.
- Aspiring Data Scientists or those looking to enter the field.
- Students or professionals from other fields (e.g., business, engineering) looking to learn data analysis and machine learning.
- Business Analysts looking to improve their data-handling and analysis skills.
- Professionals in any industry wanting to gain data-driven insights and make data-backed decisions.
Course Prerequisites:
- No prior programming experience required. The course starts from the basics.
- Familiarity with concepts of data analysis is helpful but not mandatory
Course Benefits
By the end of the course, participants will be able to:
- Write Python programs to manipulate and analyze data.
- Work with key Python libraries like Pandas, NumPy, Matplotlib, and Seaborn.
- Perform data cleaning and preprocessing tasks.
- Create visualizations to help interpret data.
- Apply basic machine learning algorithms to real-world data.
- Begin to interpret data science results and communicate findings effectively.
Why to take this Course?
- Practical Skills: You'll gain hands-on experience with Python and data science tools that you can apply directly in real-world scenarios.
- Foundational Knowledge: This course lays the groundwork for more advanced data science topics like machine learning, deep learning, and data engineering.
- Career Opportunities: With Python and data science skills, you’ll be equipped for various roles in data analysis, data science, and machine learning.
Course Contents
Introduction to Python Programming
Python for Data Handling
Data Visualization with Python with matplotlib, seaborn, etc.,
Exploratory Data Analysis (EDA)
Introduction to Machine Learning with Python
Practical Application: A Real-World Project
*Note: The course duration and topics may vary based on specific requirements.
