Python for Data Science
Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.
Advanced Last Updated At 14/2022English English [Auto]
Key Learning
Master Machine Learning on Python & R
Have a great intuition of many Machine Learning models
Make accurate predictions
Make powerful analysis
Make robust Machine Learning models
Create strong added value to your business
Use Machine Learning for personal purpose
Handle specific topics like Reinforcement Learning, NLP and Deep Learning
Handle advanced techniques like Dimensionality Reduction
Know which Machine Learning model to choose for each type of problem
Build an army of powerful Machine Learning models and know how to combine them to solve any problem
This Data Science with Python training course teaches engineers, data scientists, statisticians, and other quantitative professionals the Python programming skills they need to analyze and chart data.
Data Science has been among the top paying jobs for the past several years. The rise of big data and use of analytics to fuel business growth has made it among the most in-demand jobs in enterprises. Start your path to becoming a Data Scientist, using the power of Python. Analyze data, create beautiful visualizations, and use powerful machine learning algorithms to convert your data into meaningful statistics that can help organizations achieve business outcomes.
This interactive and comprehensive course is a great place for you to get started on Python programming language and its use in Data Science. This Data Science with Python course aims at helping you understand the core concepts of Data science including exploratory data science, statistics, hypothesis testing, regression classification modeling techniques, data visualization and machine learning algorithms. Coaching from experts and plenty of hands-on exercises will ensure that you are industry ready by the end of this course.
Objectives:
- Upon successful completion of this training learners will be able to:
- Understand the importance of Data science and its demand in the current industry.
- Quick Refresher on Python if you have a Python background and want to revise once.
- Learn foundational statistics required to understand Data science concepts.
- Discover how to programmatically download and analyze big data sets.
- Explore techniques on how to deal with different types of data such as numerical, categorical.
- Discover various measures of cleaning data, identifying outliers and fixing them.
- Understand how python libraries are useful in scientific analysis.
- Learn how to visualize the data analyzed to provide meaningful insights.
- Learn how to use numpy, pandas and matplotlib in different stages of data science life cycle process.
Who can take this course?
- Anybody who has good programming knowledge or experience in python can take this course to get into the data science world. The course is intended for Students, Freshers or learners with intermediate programming knowledge such as Developers, Program Analysts, Tech Leads, Architects, Project Managers, Technical Program managers and Product Managers.
- Career Opportunities:
- Data Analyst
- Data Scientist
- Data Engineer
- Business Analyst
- Data and Analytics Manager
- Data Architect
- Developer
Prerequisites
Learners should have prior programming experience and an understanding of basic statistics.
Python for Data Science
Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.
Advanced Last Updated At 14/2022English English [Auto]
Request a Demo
Key Learning
Master Machine Learning on Python & R
Have a great intuition of many Machine Learning models
Make accurate predictions
Make powerful analysis
Make robust Machine Learning models
Create strong added value to your business
Use Machine Learning for personal purpose
Handle specific topics like Reinforcement Learning, NLP and Deep Learning
Handle advanced techniques like Dimensionality Reduction
Know which Machine Learning model to choose for each type of problem
Build an army of powerful Machine Learning models and know how to combine them to solve any problem
This Data Science with Python training course teaches engineers, data scientists, statisticians, and other quantitative professionals the Python programming skills they need to analyze and chart data.
Data Science has been among the top paying jobs for the past several years. The rise of big data and use of analytics to fuel business growth has made it among the most in-demand jobs in enterprises. Start your path to becoming a Data Scientist, using the power of Python. Analyze data, create beautiful visualizations, and use powerful machine learning algorithms to convert your data into meaningful statistics that can help organizations achieve business outcomes.
This interactive and comprehensive course is a great place for you to get started on Python programming language and its use in Data Science. This Data Science with Python course aims at helping you understand the core concepts of Data science including exploratory data science, statistics, hypothesis testing, regression classification modeling techniques, data visualization and machine learning algorithms. Coaching from experts and plenty of hands-on exercises will ensure that you are industry ready by the end of this course.
Objectives:
- Upon successful completion of this training learners will be able to:
- Understand the importance of Data science and its demand in the current industry.
- Quick Refresher on Python if you have a Python background and want to revise once.
- Learn foundational statistics required to understand Data science concepts.
- Discover how to programmatically download and analyze big data sets.
- Explore techniques on how to deal with different types of data such as numerical, categorical.
- Discover various measures of cleaning data, identifying outliers and fixing them.
- Understand how python libraries are useful in scientific analysis.
- Learn how to visualize the data analyzed to provide meaningful insights.
- Learn how to use numpy, pandas and matplotlib in different stages of data science life cycle process.
Who can take this course?
- Anybody who has good programming knowledge or experience in python can take this course to get into the data science world. The course is intended for Students, Freshers or learners with intermediate programming knowledge such as Developers, Program Analysts, Tech Leads, Architects, Project Managers, Technical Program managers and Product Managers.
- Career Opportunities:
- Data Analyst
- Data Scientist
- Data Engineer
- Business Analyst
- Data and Analytics Manager
- Data Architect
- Developer
Prerequisites
Learners should have prior programming experience and an understanding of basic statistics.
Student's Testimonials
Shivani
Student
The course met and far exceeded my expectation. It met all the objectives, covering all relevant aspects of the programming. This gave me a greater...
Madhuri
Student
I have found this self-paced learning course to be useful. The access to labs complimented the course and me confidence to solve problem statements in...
Sri Valli
Student
I enrolled into this course looking to build a foundation in programming. After the completion of this course, I now feel I understand the complete...
Jyothi
Student
The overall experience of the course is very good. The labs and exercises complement your learning. If you want to improve your programming skills, it...
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