Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
21 Hour(s) 52 Minute(s)
Language
English
Taught by
DioPACT SG
Rating
Course Overview
This is an Adapted Course for Singaporeans picking up new skillsets and competencies under the CITREP+ Scheme.
Welcome to the SGLearn Series targeted at Singapore-based learners picking up new skillsets and competencies.
This course is an adaptation of the same course by Jose Marcial Portilla and is specially produced in collaboration with Jose for Singaporean learners. If you are a Singaporean, you are eligible for the CITREP+ funding scheme, terms and conditions apply.
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Note from Jose ....
Are you ready to start your path to becoming a Data Scientist!
This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!
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!
This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!
This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 100 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive course for data science and machine learning on Udemy!
We'll teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning:
Programming with Python
NumPy with Python
Using pandas Data Frames to solve complex tasks
Use pandas to handle Excel Files
Web scraping with python
Connect Python to SQL
Use matplotlib and seaborn for data visualizations
Use plotly for interactive visualizations
Machine Learning with SciKit Learn, including:
Linear Regression
K Nearest Neighbors
K Means Clustering
Decision Trees
Random Forests
Natural Language Processing
Neural Nets and Deep Learning
Support Vector Machines
and much, much more!
Enroll in the course and become a data scientist today!
Course Content
- 28 section(s)
- 144 lecture(s)
- Section 1 Course Introduction
- Section 2 Environment Set-Up
- Section 3 Jupyter Overview
- Section 4 Python Crash Course
- Section 5 Python for Data Analysis - NumPy
- Section 6 Python for Data Analysis - Pandas
- Section 7 Python for Data Analysis - Pandas Exercises
- Section 8 Python for Data Visualization - Matplotlib
- Section 9 Python for Data Visualization - Seaborn
- Section 10 Python for Data Visualization - Pandas Built-in Data Visualization
- Section 11 Python for Data Visualization - Plotly and Cufflinks
- Section 12 Python for Data Visualization - Geographical Plotting
- Section 13 Data Capstone Project
- Section 14 Introduction to Machine Learning
- Section 15 Linear Regression
- Section 16 Cross Validation and Bias-Variance Trade-Off
- Section 17 Logistic Regression
- Section 18 K Nearest Neighbors
- Section 19 Decision Trees and Random Forests
- Section 20 Support Vector Machines
- Section 21 K Means Clustering
- Section 22 Principal Component Analysis
- Section 23 Recommender Systems
- Section 24 Natural Language Processing
- Section 25 Big Data and Spark with Python
- Section 26 Neural Nets and Deep Learning
- Section 27 BONUS: DISCOUNT COUPONS FOR OTHER COURSES
- Section 28 Interview with Singapore Expert
What You’ll Learn
- Use Python for Data Science and Machine Learning, Use Spark for Big Data Analysis, Implement Machine Learning Algorithms
Skills covered in this course
Reviews
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IIMDA Panel Access
The materials are comprehensive and are properly organized. It is truly insightful and give whoever want to learn data science a leg up to embark on this area. Many thanks for the excellent effort.
