This course will prepare you to: Explain the architecture of the Python Certification component Configure and use new functionalities in Python Certification Use the standard Python Certification Sub Modules. Explain the Python Certification Controlling Configuration and Customization option.

Basic Functionalities of a data object Merging of Data objects Concatenation of data objects Types of Joins on data objects Exploring a Dataset Analysing a dataset

What is Time Series Analysis? Importance of TSA Components of TSA White Noise AR model MA model ARMA model ARIMA model Stationarity ACF & PACF

Python Certification Training

Sapphire Global Python Certification Training makes you an expert in using Python Certification concepts. Enroll now for Python Certification online training and get through the concepts of data, by utilizing the internal memory for storing a working set. Sapphire Global introduces all the key concepts in Python Certification to help the learner gain more knowledge. Enroll & Become a Python Certification Consultant.

Categories: All Courses, Big Data Training & Certification Training

Overview

Training Options

INSTRUCTOR LEAD LIVE TRAINING

Live Instructor Online training by Certified & industry expert Trainers
24/7 One Demand Dedicated Server for Hands on Practice.
Flexibility to attend the class at your convenient time.
Earn a Skill Certificate
Professional Resume Preparation end of the trading period.
Plus 45 Days of flexible access e- learning.

CORPORATE TRAINING

Customized Learning delivery model.
Our training practice are perfectly blended with options for effective live instructor lead hands on training.
Training need analysis.
Our Corporate training services are easy accessibility of LMS ( learning Management System ) online or offline – anytime, anywhere, on any of your devices.
24/7 learner assistance and Support

Course Curriculum

Key features

This course will prepare you to:

Explain the architecture of the Python Certification component
Configure and use new functionalities in Python Certification
Use the standard Python Certification Sub Modules.
Explain the Python Certification Controlling Configuration and Customization option.

Introduction to Python

Overview of Python
The Companies using Python
Different Applications where Python is used
Discuss Python Scripts on UNIX/Windows
Values, Types, Variables
Operands and Expressions
Conditional Statements
Loops
Command Line Arguments
Writing to the screen

Sequences and File Operations

Python files I/O Functions
Numbers
Strings and related operations
Tuples and related operations
Lists and related operations
Dictionaries and related operations
Sets and related operations

Deep Dive – Functions, OOPs, Modules, Errors and Exceptions

Functions
Function Parameters
Global Variables
Variable Scope and Returning Values
Lambda Functions
Object-Oriented Concepts
Standard Libraries
Modules Used in Python
The Import Statements
Module Search Path
Package Installation Ways
Errors and Exception Handling
Handling Multiple Exceptions

Introduction to NumPy, Pandas and Matplotlib

NumPy - arrays
Operations on arrays
Indexing slicing and iterating
Reading and writing arrays on files
Pandas - data structures & index operations
Reading and Writing data from Excel/CSV formats into Pandas
matplotlib library
Grids, axes, plots
Markers, colours, fonts and styling
Types of plots - bar graphs, pie charts, histograms
Contour plots

Data Manipulation

Basic Functionalities of a data object
Merging of Data objects
Concatenation of data objects
Types of Joins on data objects
Exploring a Dataset
Analysing a dataset

Introduction to Machine Learning with Python

Python Revision (numpy, Pandas, scikit learn, matplotlib)
What is Machine Learning?
Machine Learning Use-Cases
Machine Learning Process Flow
Machine Learning Categories
Linear regression
Gradient descent

Supervised Learning - I

What are Classification and its use cases?
What is Decision Tree?
Algorithm for Decision Tree Induction
Creating a Perfect Decision Tree
Confusion Matrix
What is Random Forest?

Dimensionality Reduction

Introduction to Dimensionality
Why Dimensionality Reduction
PCA
Factor Analysis
Scaling dimensional model
LDA

Supervised Learning - II

What is Naïve Bayes?
How Naïve Bayes works?
Implementing Naïve Bayes Classifier
What is Support Vector Machine?
Illustrate how Support Vector Machine works?
Hyperparameter Optimization
Grid Search vs Random Search
Implementation of Support Vector Machine for Classification

Unsupervised Learning

What is Clustering & its Use Cases?
What is K-means Clustering?
How does K-means algorithm work?
How to do optimal clustering
What is C-means Clustering?
What is Hierarchical Clustering?
How Hierarchical Clustering works?

Association Rules Mining and Recommendation Systems

What are Association Rules?
Association Rule Parameters
Calculating Association Rule Parameters
Recommendation Engines
How does Recommendation Engines work?
Collaborative Filtering
Content-Based Filtering

Reinforcement Learning

Why Reinforcement Learning
Elements of Reinforcement Learning
Exploration vs Exploitation dilemma
Epsilon Greedy Algorithm
Markov Decision Process (MDP)
Q values and V values
Q – Learning
α values

Time Series Analysis

What is Time Series Analysis?
Importance of TSA
Components of TSA
White Noise
AR model
MA model
ARMA model
ARIMA model
Stationarity
ACF & PACF

Model Selection and Boosting

What is Model Selection?
The need for Model Selection
Cross-Validation
What is Boosting?
How Boosting Algorithms work?
Types of Boosting Algorithms
Adaptive Boosting

Practice Test and Interview Questions

Course Advisor

Course Advisor

R. Sreenatha Reddy

SAP FICO / FSCM / TRM / FM / S4HANA Functional Consultant

Professional Experience:

15+ years of Industry experience as Accountant, Consultant, Module Lead, worked on various IT Organizations like IBM/TCS/ITC infotech/SAP Labs across the globe.

Specialized in SAP