DATA SCIENCE USING PYTHON TRAINING IN NOIDA
4.3 /5- Offered byDUCAT
DATA SCIENCE USING PYTHON TRAINING IN NOIDA at DUCAT Overview
Mode of learning | Online |
Credential | Certificate |
DATA SCIENCE USING PYTHON TRAINING IN NOIDA at DUCAT Highlights
- Simple Syntax
- Dynamically Typed Language
- GUI Based Desktop Application
- Job Opportunities after Python Training
DATA SCIENCE USING PYTHON TRAINING IN NOIDA at DUCAT Course details
- This Data Science Training not only focuses on the basics of Python, Machine Learning, and Spark but it will also help anyone gain expertise on applied Data Science using Python
- The training course is a step by step guide to Python and Data Science with extensive training with live projects
- This course will also cover both basic and advanced concepts like writing Python scripts, and sequence and file operations in Python
- Learner will be using libraries like pandas, matplotlib, scikit and will master the concepts like machine learning, scripts, sequence, web scraping, and big data analytics
DATA SCIENCE USING PYTHON TRAINING IN NOIDA at DUCAT Curriculum
Course Overview
Overview of Data Science
What is Data Science
Different Sectors Using Data Science
Data Analytics Overview
Exploratory Data Analysis(EDA)
EDA-Quantitative Technique
EDA - Graphical Technique
Data Analytics Conclusion or Predictions
Data Types for Plotting
Data Types and Plotting
Mathematical Computing with python(NumPy)
Introduction to Numpy
Activity-Sequence
Creating and Printing an ndarray
Class and Attributes of ndarray
Basic Operations
Activity – Slicing
Copy and Views
Mathematical Functions of Numpy
Advance Slicing
Transpose and arance
Searching
Scientific Computing with Python(SciPy)
Introduction of SciPy
SciPy Sub Package - Integration and Optimization
SciPy sub package
Demo - Calculate Eigenvalues and Eigenvector
Demo - Calculate Eigenvalues and Eigenvector
Data Manipulation with Pandas
Introduction of Pandas
Data Types in Pandas
Understanding Series
Understanding DataFrame
View and Select Data Demo
Missing Values
Data Operations
File Read and Write Support
Pandas SQL Operation
Python for Data Visualization-Matplotlib
Introduction to Matplotlib
Matplotlib Part 1 Set up
Matplotlib Part 2 Plot
Matplotlib Part 3 Next steps
Matplotlib Exercises Overview
Matplotlib Exercises – Solutions
Python Data Visualization – Seaborn
Introduction to Seaborn
Distribution Plots
Categorical Plots
Matrix Plots
Regression Plots
Grids
Style and Color
Seaborn Exercise Overview
Seaborn Exercise Solutions
Introduction to Machine Learning
Link for ISLR
Introduction to Machine Learning
Machine Learning with Python
Linear Regression
Linear Regression Theory
Model selection Updates for SciKit Learn
Linear Regression with Python – Part 1 Introduction
Linear Regression with Python – Part 2 Deep Dive
Linear Regression Project Overview and Project Solution
Logistic Regression
Logistic Regression Theory – Introduction
Logistic Regression with Python – Part 1 – Logistics
Logistic Regression with Python – Part 2 – Regression
Logistic Regression with Python – Part 3 – Conclusion
Logistic Regression Project Overview and Project Solutions
K Nearest Neighbours
KNN Theory
KNN with Python
KNN Project Overview and Project Solutions
Decision Trees and Random Forests
Introduction to Tree Methods
Decision Trees and Random Forest with Python
Decision Trees and Random Forest Project Overview
Decision Trees and Random Forest Solutions Part 1
Decision Trees and Random Forest Solutions Part 2
Support Vector Machines
SVM Theory
Support Vector Machines with Python
SVM Project Overview
SVM Project Solutions
K Means Clustering
K Means Algorithm Theory
K Means with Python
K Means Project Overview
K Means Project Solutions
Principal Component Analysis
Principal Component Analysis
PCA with Python
Recommender Systems
Recommender Systems
Recommender Systems with Python – Part 1 The Foundation
Recommender Systems with Python – Part 2 Deep Dive
Natural Language Processing
Natural Language Processing Theory
NLP with Python
NLP Project Overview
NLP Project Solutions
Big Data and Spark with Python
Big Data Overview
Spark Overview
Local Spark Set-Up
AWS Account Set-Up
Quick Note on AWS Security
EC2 Instance Set-Up
SSH with Mac or Linux
PySpark Setup
Lambda Expressions Review
Introduction to Spark and Python
RDD Transformations and Actions
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