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Data Science & ML for Python-Python & Data Science Made Easy
Beginners in Python & R for Data Science: Introduction to Data science and Practical applications of Data Science and ML
This Course Includes
udemy
2.5 (44 reviews )
10h 53m 
english
Online - Self Paced
professional certificate
Udemy
About Data Science & ML for Python-Python & Data Science Made Easy
This course is for
Aspirant
Data Scientists, Business/Data Analyst, Machine Learning & AI professionals planning to ignite their career/ enhance Knowledge in niche technologies like Python and R. You will learn with this program:
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Basics of Python, marketability and importance
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Understanding most of python programming from scratch to handle structured data inclusive of concepts like OOP, Creating python objects like list, tuple, set, dictionary etc; Creating numpy arrays, ,Creating tables/ data frames, wrangling data, creating new columns etc.
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Various In demand Python packages are covered like sklearn, sklearn.linear_model etc.; NumPy, pandas, scipy etc.
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R packages are discussed to name few of them are dplyr, MASS etc.
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Basics of Statistics - Understanding of Measures of Central Tendency, Quartiles, standard deviation, variance etc.
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Types of variables
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Advanced/ Inferential Statistics - Concept of probability with frequency distribution from scratch, concepts like Normal distribution, Population and sample
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Statistical Algorithms to predict price of houses with Linear Regression
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Statistical Algorithms to predict patient suffering from Malignant or Benign Cancer with Logistic Regression
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Machine learning algorithms like SVM, KNN
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Implementation of Machine learning (SVM, KNN) and Statistical Algorithms (Linear/ Logistic Regression) with Python programming code
What You Will Learn?
- Python & R programming for Structured data/ tables. .
- Python in demand packages used by Data Scientist and Machine Learning professionals. .
- Basic, Inferential and Advanced Statistics .
- Concept of Linear and Logistic Regression implementing with Python code .
- Machine Learning (ML) Algorithms concepts with Python code .
- ML Algorithms - Support Vector Machine .
- Machine Learning Algorithms. - K nearest neighbors .
- Practical Application of Data Science and Machine Learning in Healthcare and Real estate Industry .
- An approach and outlook a Data Scientist and ML professional should adopt while solving business problems in real life .
- Engaging Course with Multiple choice questions for Students towards end of each section for Knowledge tests .
- Practical & Comprehensive Assignment with Guidelines explaining challenges faced by DS/ML professional and how to deal with such roadblocks. Show moreShow less.