# Data Science & Python: Maths, Python Libraries, Statistics

## Python & Mathematics For Data Science

Learn Python, Numpy, Pandas, Matplotlib, Linear Regression, Algebra, Statistics, Calculus, Projects & Data Visualisation

### Reedem On Udemy

**What you'll learn**

- What is Python
- Uses of Python
- How to write code in Python
- What are Python libraries
- What is Anaconda
- What is Jupyter Notebook
- What is Numpy
- What is Matplotllib
- How to plot in Matplotlib
- What is Scipy
- What is Scikit
- What is Pandas
- How to import files in Jypyter notebook using Pandas
- How to create files using Pandas
- Basic math in Python
- Linear Algebra in Pythom
- Statistics in Python
- 2d and 3d plotting in Python
- Linear regression in Python
- differential and Integral calculus in Python

**Description**

**Get instant access to a 73-page workbook on Data Science, follow along, and keep for reference**

**Introduce yourself to our community of students in this course and tell us your goals with data science**

**Encouragement and celebration of your progress every step of the way: 25% > 50% > 75% & 100%**

**Over 13 hours of clear and concise step-by-step instructions, lessons, and engagement**

This data science course provides participants with the knowledge, skills, and experience associated with Data Science. Students will explore a range of data science tools, algorithms, linear programming and statistical techniques, with the aim of discovering hidden insights and patterns from raw data in order to inform scientific business decision-making.

What you will learn:

- Introduction to Python; what is Python, Anaconda, libraries, Numpy, Matplotlib, SciPy and SciKit Learn
- Learn mathematics by coding in python; basic maths, variables. solutions of equations. logarithmic and exponential functions. polynomials, complex numbers and trigonometry
- Statistics by coding in Python
- Linear Algebra for data science: matrices. determinants, inverse, solutions, scalars and vectors
- Detailed introduction and demo of Numpy
- Linear algebra in Python as well as calculus. Matplotlib and more
- Lear Data Science projects in Pandas: importing files, creating data frames
- Regression analysis using SKLearn
- Data science careers in a Q&A Webinar plus additional insights; learn from other students questions

Instructor : Tech 100

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