Become a Data Scientist with Python

The career of Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed. Data Science is a rewarding career that allows you to solve some of the world’s most interesting problems.

The comprehensive Udemy course “Python for Data Science and Machine Learning Bootcamp” is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science. You will learn how to use the power of Python to analyze data, create beautiful visualizations and use powerful machine learning algorithms.

Python for Data Science and Machine Learning Bootcamp Course Content

This course will teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python. The course comprises 149 lectures organized into the following sections:

Course Introduction
Environment Set-Up
Jupyter Overview
Python Crash Course
Python for Data Analysis – NumPy
Python for Data Analysis – Pandas
Python for Data Analysis – Pandas Exercises
Python for Data Visualization – Matplotlib
Python for Data Visualization – Seaborn
Python for Data Visualization – Pandas Built-in Data Visualization
Python for Data Visualization – Plotly and Cufflinks
Python for Data Visualization – Geographical Plotting
Data Capstone Project
Introduction to Machine Learning
Linear Regression
Cross-Validation and Bias-Variance Trade-Off
Logistic Regression
K Nearest Neighbors
Decision Trees and Random Forests
Support Vector Machines
K Means Clustering
Principal Component Analysis
Recommender Systems
Natural Language Processing
Big Data and Spark with Python
Neural Nets and Deep Learning

Requirements

Some programming experience;
Admin permissions to download files.

Summary of Main Course Features

Instructors:
- Jose Portilla – Data Scientist
- Pierian Data International– Jose Portilla’s Pierian Data Inc. International Translations
Lectures: 165
On-demand video: 25 hours
Articles: 13
Downloadable Resources: 6
Includes:
- 30-Day Money-Back Guarantee
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion