Python for Data Science and Machine Learning
The main goal of the course is to provide a deeper understanding and hands-on learning experience on the Data Science
Python for Data Science and Machine Learning udemy course
The main goal of the course is to provide a deeper understanding and hands-on learning experience on the Data Science
What you'll learn:
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Become a professional Data Scientist, Data Engineer, Data Analyst or Consultant
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Learn data cleaning, processing, wrangling and manipulation
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How to create resume and land your first job as a Data Scientist
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How to use Python for Data Science
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How to write complex Python programs for practical industry scenarios
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Learn Plotting in Python (graphs, charts, plots, histograms etc)
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Learn to use NumPy for Numerical Data
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Machine Learning and it’s various practical applications
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Supervised vs Unsupervised Machine Learning
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Learn Regression, Classification, Clustering and Sci-kit learn
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Machine Learning Concepts and Algorithms
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K-Means Clustering
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Use Python to clean, analyze, and visualize data
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Building Custom Data Solutions
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Statistics for Data Science
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Probability and Hypothesis Testing
Requirements:
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Students should have basic computer skills
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Students would benefit from having prior Python Experience but not necessary
Description:
This course offers a deep and wide range of skills set from Programming to statistics and machine learning algorithms. The skills you will attain from this course could make you an expert Data Analyst, Quality Analyst and Business Analyst and Statistical Analyst roles.
Machine learning algorithms such as Regression, Clustering, Classification and prominent libraries such as Pandas, Matplotlib, SciKit -learn is covered from this course. Python for Data Science and Machine Learning Udemy
The main goal of the course is to provide a deeper understanding and hands-on learning experience on the Data Science domain with the help of Python programming language along with real-time Data Science projects to provide an overall knowledge on Data Science domain.
This course covers all the topics from Mathematics to Programming to Visualization techniques that are needed for a Data Scientist role. The whole module that is provided is based on recent trends and growing job opportunities in the Data Science world.
The course provides the module of Machine Learning with a prominent SciKit -Learn library. Algorithms like Regression, Clustering, and Classification are done using the SciKit-Learn library.
Pandas library which is used prominently for Data Analysis, Data wrangling and analytics is covered extensively in this course.
Data Visualization library Matplotlib is covered from Beginner to Advance level in this course it is very useful for pictorial representation and Data Reporting.
Who this course is for:
- Professional looking for Analytics: Every sector of the industry is moving towards analytics. They are working with a high volume of data for their business growth. They are attracting new tools and technologies. Job career: People who are keen to learn and work in domains like Machine Learning, Artificial Intelligence, Business Intelligence, Data Analyst. Any Individuals: Data Engineers, Software Developer, Analyst, IT operations, Architects, Technical Managers, Professional interested in Data Science and Visualisations.
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Course Details:
- 5 hours on-demand video
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
Python for Data Science and Machine Learning udemy free download
The main goal of the course is to provide a deeper understanding and hands-on learning experience on the Data Science
Demo Link: https://www.udemy.com/course/python-for-data-science-and-machine-learning-j/
