What you’ll learn
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Install Jupyter Notebook Server
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Create a new notebook
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Explore Components of Jupyter Notebook
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Understand Data Science Life Cycle
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Use Kaggle Data Sets
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Perform Probability Sampling
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Explore and use Tabular Data
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Explore Pandas DataFrame
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Manipulate Pandas DataFrame
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Perform Data Cleaning
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Perform Data Visualization
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Visualize Qualitative Data
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Explore Machine Learning Frameworks
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Understand Supervised Machine Learning
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Use machine learning to predict value of a house
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Use Scikit-Learn
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Load datasets
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Make Predictions using machine learning
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Understand Python Expressions and Statements
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Understand Python Data Types and how to cast data types
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Understand Python Variables and Data Structures
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Understand Python Conditional Flow and Functions
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Learn SQL with PostgreSQL
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Perform SQL CRUD Operations on PostgreSQL Database
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Filter and Sort Data using SQL
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Understand Big Data Terminologies.
Who this course is for:
- Beginners to Data Science
- Beginners to Machine Learning
- Beginners to Python
- Beginners to SQL
Can I download Data Science and Machine Learning For Beginners with Python course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Data Science and Machine Learning For Beginners with Python course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
Note: 100% OFF Udemy coupon codes are valid for maximum 3 days only. Look for "ENROLL NOW" button at the end of the post.
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
