Introduction to Data Science for Complete Beginners
Most Frequent Questions about Data Science are answered in this course
What you’ll learn
Introduction to Data Science for Complete Beginners
- What is Data Science
- Who is a Data Scientist
- Type of Questions that a Data Science Can Answer
- Supervised and Unsupervised Learning in Machine Learning with Real-life Examples
- Applications of Data Science in Real Life
- What is Data Engineering
- Who is a Data Engineer
- What is Machine Learning
- Who is a Machine Learning Engineer
- Skills Needed to Become a Data scientist
- How to Practice Data Science and Build your portfolio
- Certifications in Data Science
- Some Great Books in Data Science
Requirements
- Laptop or PC
- A Good Connection to the internet
- Passion to Learn about Data Science
Description
Data science and machine learning are one of the hottest fields in the market and have a bright future
In the past ten years, many courses have appeared that explains the field in a more practical way than in theory
During my experience in counseling and mentoring, I faced many obstacles, the most important of which was the existence of educational gaps for the learner, and most of the gaps were in the theoretical field.
To fill this gap, I made this course, Thank God, this course helped many students to properly understand the field of data science.
If you have no idea what the field of data science is and are looking for a very quick introduction to data science, this course will help you become familiar with and understand some of the main concepts underlying data science.
If you are an expert in the field of data science, then attending this course will give you a general overview of the field
This short course will lay a strong foundation for understanding the most important concepts taught in advanced data science courses, and this course will be very suitable if you do not have any idea about the field of data science and want to start learning data science from scratch
Who this course is for
- Data Science Enthusiasts
- People who want to Become Data Scientists
- Data Science Aspirants
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