- Session 1. NumPy Introduction
- NumPy Introduction
- Session 2. Python Numpy Array
- Python Numpy Array
- Session 3. Indexing & Slicing - 1
- Indexing & Slicing - 1
- Session 4. Indexing & Slicing - 2
- Indexing & Slicing - 2
- Session 5. Statistical Functions, Operators & Random Numbers
- Statistical Functions, Operators & Random Numbers
- Data Science
- 6. What is Data Science
- Machine Learning
- 7. What is Machine Learning
- Summary
What you'll learn
- 1. NumPy Introduction 2. Python Numpy Array 3. Indexing & Slicing - 1 4. Indexing & Slicing - 2 5. Statistical Functions, Operators & Random Numbers 6. What is Data Science 7. What is Machine Learning
Description
In this series, we cover the basics of using NumPy for basic data analysis. Some of the things that are covered are as follows: installing NumPy using the Anaconda Python distribution, creating NumPy arrays in a variety of ways, gathering information about large datasets such as the mean, median and standard deviation, as well as utilizing Jupyter Notebooks for exploration using NumPy. If you are looking to get started with NumPy then join us!
1. NumPy Introduction
2. Python Numpy Array
3. Indexing & Slicing - 1
4. Indexing & Slicing - 2
5. Statistical Functions, Operators & Random Numbers
6. What is Data Science
7. What is Machine Learning
Other Courses
The Life of the Music Producer: The Top 5 Producer Secrets
Get started producing music on the right foot with these top tricks and tips for music production.
Tableau - Basic to Advanced
Master Tableau in Data Science by solving real life analytical problems.
Introduction To Color Therapy
Learn Color Therapy from Beginning, Use colors to cure diseases, uplift mood and bring a positive change in your life
4D Simulation - BIM Projects and Construction
Navisworks, BIM, and Beyond: Navigating 4D Simulation for Construction Excellence
Network Administration + Networking Essentials Part 3
Network Administration + IT Computer Network Fundamentals + Theory + Network Engineering + Networking Essentials Part 3
About the instructors
- 3.99 Calificación
- 155026 Estudiantes
- 9 Cursos
DATAhill Solutions Srinivas Reddy
Data Scientist
Having 10+ Years of Experience in Software Industry which includes Development, Support & Training.
My Experience Includes Managing, Processing, Predicting and Analyzing of Large volume of Business Data.
Expertise in Data Management, BI Technologies & Data Science with Data Analytics, Machine Learning, Deep Learning & Artificial Intelligence using R Programming, Python Programming, WEKA and EXCEL.
Having publications and patents in various fields such as machine learning, data security, and data science technologies.
I received my Masters of Technology in Computer Science & Engineering from JNTU.
Professionally, I am a Data Science management consultant with over 8 years of experience in finance, retail, transport and other industries.
Student feedback
Course Rating
Reviews
Explaination is outstanding as well as the content.
good
Best explanation of Numpy! Easy to understand