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
- 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
Click the link below for details of any special offers on the price of this course
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