What you would learn in Data Science & Python: Maths, Python Libraries, Statistics course?
You can instantly access a 73-page book on Data Science, follow along, and save it for future reference.
Welcome to the group of students taking this course, and let us know your data science goals
A celebration and encouragement of your achievements each step of the way 25 - 50 75% > 25% and 100%
More than 13 hours of concise and clear instruction, lesson plans, and interaction
This course will equip students with the understanding abilities, skills, and expertise related to Data Science. Students will learn about a variety of tools for data science, such as linear programming, algorithms, and statistical methods, to identify patterns and hidden information in data to aid in making business decisions based on scientific research.
What you'll learn:
Introduction to Python What does it mean? Python, Anaconda, libraries, Numpy, Matplotlib, SciPy, and SciKit Learn
Learn about mathematics through programming using Python, fundamental maths, and variables. Solutions of equations. Logarithmic and exponential functions. polynomials, complex numbers, and trigonometry
Statistics through programming in Python
Linear Algebra for data science: matrices. Determiners, inverse, solutions as well as vectors, scalars, and vectors
Numpy: Detailed introduction and demonstration Numpy
Linear algebra is a part of Python, along with calculus. Matplotlib and much more
Lear Data Science projects in Pandas Importing files and creating data frames
Regression analysis with SKLearn
Careers in Data Science in the form of a Q&A Webinar, plus more insights. Learn from other students who have questions
Content of the Course:
- What exactly is Python
- The uses of Python
- How to write code using Python
- What exactly are Python libraries?
- What exactly is Anaconda
- What is Jupyter Notebook?
- What exactly is Numpy
- What is Matplotllib?
- How do I plot using Matplotlib
- What is Scipy?
- What is Scikit?
- What exactly are Pandas
- How to import the files into the Jypyter notebook with the help of Pandas
- How do I create files with Pandas
- Basic maths in Python
- Linear Algebra in Python
- Statistics in Python
- 3D and 2D plotting in Python
- Regression of lines in Python
- Differential and Integral Calculus Python
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