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Data Science with Python (Virtual Mode)

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Pimpri Colony MIDC, Pimpri-Chinchwad

Course ID: 377761

Pimpri Colony MIDC, Pimpri-Chinchwad

Students Interested 0 (Seats Left 0)

₹ 7,999 onwards

Senior Technology Consultant at MNC with 2 years of Teaching exp

No Reviews Yet

About the Course

Course Structure:
Module 1: Introduction to Data Science
• What is Data Science
• Evolution of Analytics
• Data Science Components
• Data Scientist Skillset
• Types of Data Scientists
• Introduction to Machine Learning
• Data Science Process
Module 2: Introduction to Python
• Python Environment Setup and Essentials
• Anaconda Python Distribution – Windows, Mac OS, Linux
• Jupyter Notebook Installation
• Variable Assignment
• Understanding Data Types: Integer, Float, String, None, Boolean, Typecasting
• Tuples: Create, Access, and Slice
• Dictionary: Create, View, Access, and Modify
• Studying Basic Operations: ‘in’, ‘+’, ‘*’
Module 3: Computing with Python – NumPy and SciPy
• Mathematical Computing with Python - NumPy
• Understanding NumPy
• ndarray: Purpose, Properties, Types
• ndarray: Class and Attributes
• How to Access Array Elements?
• Indexing, Slicing, Iteration, Indexing with Boolean Arrays
• Studying Universal Functions
• What is Shape Manipulation?
• Linear Algebra
• Scientific Computing with Python – SciPy
• Understanding SciPy
• Studying SciPy Sub-packages
• Sub-Packages: Integration and Optimize
• Sub-Packages: Statistics, Weave, I O
• Linear Algebra
Module 4: Data Manipulation and Machine Learning with Python
• Data Manipulation and Machine Learning with Python
• Data Manipulation with Python – Pandas
• Understanding Pandas
• Defining Data Structures
• Data Operations and Data Standardization
• Pandas: File Read and Write Support
• SQL Operation
• Machine Learning with Python – Scikit
• Supervised Learning Models: Linear and Logistic Regression
• Unsupervised Learning Models: Clustering and Dimensionality Reduction
• Model Persistence and Model Evaluation
• Natural Language Processing with Scikit
• NLP Environment Setup & Applications
• NLP Sentence Analysis & Libraries
• Scikit – Built-in Modules & Feature Extraction
• Scikit – Grid Search & Parameters
Module 5: Data Visualization and Web Scraping
• Data Visualization and Matplotlib
• Python Libraries
• Features of Matplotlib
• Line Properties Plot with (x, y)
• Set Axis, Labels, and Legend Properties
• Alpha and Annotation
• Multiple Plots and SubPlots
• Python Web Scraping and Data Science
• The Parser
• Searching & Modifying the Tree
• Printing, Formatting, Encoding
• Practical Hands-on exercises
Module 6: Introduction to Statistics
• Probability Distributions
• Probability Distributions Sampling
• Inferential Statistics
• Hypothesis Testing
• Tests of Hypothesis
• Anova
Module 7: Machine Learning
• Fundamentals of Machine Learning
• Types of Machine Learning
- Supervised Learning
- Unsupervised Learning
- Reinforcement learning
• Machine Learning Concepts & Terminologies
Module 8: Supervised Learning
• Predictive Models (Simple/Multiple/Logistic Regression)
• Simple Linear Regression and its Analysis
• Multiple Linear Regression and its Analysis
• Logistic Regression Analysis
• Decision Trees
• Random Forests
• Support Vector Machine
• Bayesian Theory
• K-Nearest Neighbor (K-NN)
• Intro to Dimensionality Reduction
• Real world Project on each concept
Module 9: Unsupervised Learning
• K Means Clustering
• Time Series
• Real world Project on each concept
Module 10: Bonus Course on Power BI
• Data Visualization with Power BI
• Dashboard Integration
ALONG WITH THIS COURSE YOU ALSO GET:
• Interview Preparation
• Resume Building
• Post-Training Engagement

Date and Time

Not decided yet.

About the Trainer

Ankit Mirajkar picture

Avg Rating

0 Reviews

0 Students

2 Courses

Ankit Mirajkar

MBA (major in Business Analytics) from IIT Kharagpur

2 Years of Experience

I have previous 3 years of work experience working in some of the reputed mncs like tcs, datamatics, and protiviti. I have completed his mba from vgsom, indian institute of technology, kharagpur (major in marketing and business analytics), and engineering from pune institute of computer technology in electronics and telecommunication. My interest lies in the teaching field and has mentored 50+ students over 2 years. My domain of expertise is machine learning and ai, data science using python and r, data visualization using power bi, html, sql.

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Ankit Mirajkar picture

Ankit Mirajkar

Senior Technology Consultant at MNC with 2 years of Teaching exp

No Reviews Yet

Students Interested 0 (Seats Left 0)

₹ 7,999 onwards

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