Vskills Certified Predictive Analytics Professional (Govt. Certification) A Govt. of India and Go

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What is this course about

1. Predictive Analytics & Big Data
1.1 Predictive Analytics and Big Data
1.2 Predictive Analytics Evolution

2. Process & Application
2.1 Applications of Predictive Analytics
2.2 Predictive Analytics Process and Technology
2.3 Practice: Identifying the Type of Analytics

3. Key Statistical Concepts
3.1 Importance of Statistics in Analytics
3.2 Overview of Probability Theory
3.3 Using Statistics in Predictive Analytics

4. Correlation & Regression
4.1 Introduction
4.2 Practice: Applying Statistical Approaches

5. Data Collection & Exploration
5.1 Data Needs and Sources
5.2 Data Collection and Exploration

6. Data Mining, Data Distributions, & Hypothesis Testing
6.1 Data Mining and Analytics
6.2 Data Distributions and Hypothesis Testing
6.3 Practice: Data Mining Methods

7. Data Preprocessing
7.1 Pre-processing Data

8. Data Reduction & Exploratory Data Analysis (EDA)
8.1 Data Reduction with PCA and Factor Analysis
8.2 Tools for Exploratory Data Analysis (EDA)
8.3 Practice: Using PCA for Feature Selection

9. A/B Testing, Bayesian Networks, and Support Vector Machine
9.1 A/B Testing
9.2 Naïve Bayes and Bayesian Belief Networks
9.3 Support Vector Machines
9.4 Practice: Applying Predictive Approaches

10. Artificial Neural Networks
10.1 K-Nearest Neighbor (k-NN)
10.2 K-Nearest Neighbor (k-NN) & Artificial Neural Networks

11. Clustering Techniques
11.1 Using Clustering Techniques
11.2 K-Means Clustering
11.3 Hierarchical Clustering and DBSCAN

12. Linear and Logical Regression
12.1 Linear Regression
12.2 Logistic Regression
12.3 Practice: Linear Regression Inference

13. Text Mining & Social Network Analysis
13.1 Text Mining
13.2 Social Network and Media Analytics\

14. Time Series Modeling
14.1 Introduction to Time Series
14.2 Time Series Forecasting Models
14.3 Practice: Time Series Modeling Concepts

15. Machine Learning, Propensity Score, & Segmentation Modeling
15.1 Machine Learning
15.2 Propensity Score and Segmentation Modeling

16. Random Forests & Uplift Models
16.1 Random Forests
16.2 Uplift Models
16.3 Practice: Advanced Predictive Tools

17. Model Life Cycle Management
17.1 Introducing Model Life Cycle Management

18. Model Development, Validation, & Evaluation
18.1 Model Building
18.2 Model Considerations and Validation
18.3 Model Evaluation
18.4 Practice: Classification Model Performance

What are the course deliverables ?

Process
• Post registration get login credentials of your online profile
• Download Soft copy of the reading material
• Receive hard copy reading material
• Post preparation, schedule exam date and exam center from your online profile within one year of order date.
• Clear the exam and get hard copy and soft copy certificate with LinkedIn recommendation and tagging on MonsterIndia.com and Shine.com

Program Schedule

• No fixed dates.
• Prepare and appear for certification exam

Program Highlights

Benefits of Vskills Certification
• Government certification
• No Minimum educational qualification
• No time commitment
• Improve employability
• Certification valued and approved by Industry
• Become a part of Vskills Job centre for life
• Enriched professional experience by being a Vskills Alumni

Desired Course Seeker Profile

• No minimum eligibility
• No experience needed