PMP Certification Training Course
PMP Certification Training, otherwise called “Project Management Professional” this course is set to offer you better services. From this name, it would not be difficult to decipher that PMP Certification course would discuss how best projects can be managed to ensure that their already outlined goals and objectives are achieved. PMP Certification Training course would teach you all about project management, the different types, how the goals of each project are achieved and ways you can become a certified project manager. Project Management Professional (PMP) Training course would also teach you certain project management related topics that are sure to help you manage projects. Also, this course would help you combine some of the technologies that have been developed to manage projects.
Main Features
- Intensive instructor-led assistance, teaching, supervision, and examples that are sure to help you understand project management
- Would offer them hands-on examples and training
- Would offer them knowledge of what constitutes a project and how they are able to achieve the goals that have been outlined.
Learning Objectives
For Individuals
- Would offer them self-paced learning contents, models, and designs that have been created by top industry experts
For Businesses
- Would offer to cooperate solutions to businesses
- Would offer advanced and enhanced individual and team reporting
- Would offer them well-blended learning that has been designed well
PMP Certification Training Course Description
Currently, there are tons of projects that have been created, often times these projects are not accomplished because those in charge do not understand how these projects are to be managed. This course would put them through and help them carry out these projects.
- Would educate you on what constitutes a project
- Would help you to effectively implement and plan ways that would ensure the success of projects.
- Would help you deliver quality project results and goals
- Would help you carry out projects in a professional and ideal manner.
- Was created for those that seek to venture into project management
- Was designed for individuals that seek to make their projects successful
- Was created for those that love the idea of project management.
PMP Certification Course Curriculum
1. Introduction
1.1 Introduction to Data Science
Key Elements of Data Science
Data Warehousing
Business Intelligence
Data Visualization
Data Mining
Machine Learning
Artificial Intelligence
Cloud Computing
Big Data
1.2 Artificial Intelligence: A preview
What is Artificial Intelligence & its importance
Artificial Intelligence vs Machine Learning
2. Getting Started with Machine Learning
2.1 Overview of Machine Learnin
Quick tour of the types of machine learning
What is Machine Learning (ML)?
How machines learn
Types of learning: Supervised, Semi-supervised, Unsupervised, Reinforcement.
Basics of Classification, Regression and Clustering algorithms
Creating your first Prediction Model
Training & Model evaluation
Choosing Machine Learning algorithm
3. Back to Basics (Maths with Statistics)
3.1 A quick refresh on basic intermediate maths:
A quick refresh on basic intermediate maths:
Linear Algebra (Vectors, Matrix, Eigen Values)
Probability and Statistics
Hypothesis testing
Optimization
4. Getting Started with Python
4.1 A quick crash course on basics of Python
A quick crash course on basics of Python
What is Python
Working with Python
Basic scripts on
Read, write, data handling
Loops
Conditions (if-else)
Function
Code modularization
Scikit-Learn package
Basic visualization
5. Data Processing for Machine Learning
5.1 Introduction to Data Processing
Data Collection & Preparation
Data Mugging
Outlier Analysis
Missing value treatment
Feature Engineering
Data Transformation
Normalization vs Standardization
Creating Dummies
Dimensionality Reduction
Principal Component Analysis
6. Advanced Machine Learning Algorithm
6.1 Overview to Machine Learning Algorithms
Supervised Machine Learning algorithms
Linear Regression
Logistic Regression
Decision/Classification Tree
Ensemble Models
Bagging
Boosting
Random Forest
K-Nearest Neighbours (KNN)
Naive Bayes
Neural Network (Deep Learning)
Support Vector Machine
Unsupervised Machine Learning algorithms
Clustering with K-means Clustering
Bias-Variance Trade off
Regularization
Parameter tuning & grid search optimization
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