Certified Predictive Analytics Specialist

6,500.00 3,250.00

50% Discount will end in

To train professionals in building and applying predictive models that drive informed, future-focused business decisions.

Description

Certification Name: Certified Predictive Analytics Specialist

Global Occupational Skill Standard – GOSS ID: GOSS/BS/CPAS/V1

Duration: One Month.

Eligibility: Graduation or Equivalent is required.

Objective: The Certified Predictive Analytics Specialist (CPAS) course is designed to equip professionals with the knowledge and skills to apply predictive modeling techniques and data mining methods to forecast future business outcomes. The course covers statistical modeling, machine learning algorithms, data preprocessing, feature selection, model evaluation, and deployment strategies.

Certification: Within 5 days after Completion of Online Assessment.

Get ready to join the Journey to become a GSDCI Certified Professional  – International Certification and Assessment Body.

Steps to become a GSDCI Certified Professional:

Step 1: Select your certification you want to pursue.

Step 2: Click on get certified tab, new pop up window will open.

Step 3: Click on pay certification fee, you will be redirected to billing details page.

Step 4: Fill your details and click on pay certification fee, You will be redirected to payment gateway, pay fee by any available options like Card(Debit/Credit), Wallet, Paytm, Net banking, UPI and Google pay.

Step 5: You will get Login Credentials of Online E-Books and Online assessment link on your email id, within 48 hrs of payment.

Step 6: After completion of online assessment, you can download your Certificate Immediately.

Assessment Modules:

Module 1: Introduction to Predictive Analytics: Overview of Predictive Analytics and Its Applications, Types of Predictive Models, Data Types and Sources, Understanding the Analytics Lifecycle, Role of a Predictive Analytics Specialist, Ethical Considerations in Predictive Modeling.

Module 2: Data Preparation and Exploration: Data Collection and Integration, Data Cleaning and Preprocessing, Handling Missing Data and Outliers, Exploratory Data Analysis (EDA) Techniques, Feature Engineering and Selection, Data Transformation and Scaling.

Module 3: Predictive Modeling Techniques: Regression Analysis (Linear and Logistic), Decision Trees and Random Forests, Support Vector Machines, Neural Networks and Deep Learning Basics, Time Series Forecasting, Model Evaluation Metrics (Accuracy, Precision, Recall, ROC-AUC).

Module 4: Tools and Technologies for Predictive Analytics: Introduction to Predictive Analytics Tools (Python, R, SAS), Using Machine Learning Libraries (scikit-learn, TensorFlow), Data Visualization for Model Insights, Automation of Predictive Workflows, Cloud-Based Analytics Platforms, Integration with Business Intelligence Tools.

Module 5: Model Deployment and Monitoring: Model Validation and Cross-Validation Techniques, Avoiding Overfitting and Underfitting, Deploying Models in Production Environments, Monitoring Model Performance Over Time, Model Updating and Retraining, Ensuring Model Explainability and Transparency.

Module 6: Business Applications and Case Studies: Predictive Analytics in Marketing and Customer Retention, Risk Assessment and Fraud Detection, Demand Forecasting and Inventory Optimization, Healthcare and Finance Use Cases, Communicating Predictive Insights to Stakeholders, Industry Best Practices and Emerging Trends.

GSDCI Online Assessment Detail:

  • Duration- 60 minutes.
  • Number of Questions- 30.
  • Number of Questions from each module: 5.
  • Language: English.
  • Exam Type: Multiple Choice Questions.
  • Maximum Marks- 100, Passing Marks- 50%.
  • There is no negative marking in any module.
Marking System:
S.No. No. of Questions Marks Each Question Total Marks
1 10 5 50
2 5 4 20
3 5 3 15
4 5 2 10
5 5 1 5
30   100
How Students will be Graded:
S.No. Marks Grade
1 91-100 O (Outstanding)
2 81-90 A+ (Excellent)
3 71-80 A (Very Good)
4 61-70 B (Good)
5 50-60 P (Pass)
6  0-49 F (Fail)

 

Benefits of Certification:

🌍 1. Global Recognition & Credibility – Stand out worldwide with a certification that opens doors across borders. Trusted by employers, respected by institutions, and recognized in over 100 countries.

📜 2. Quality Assurance through ISO Certification – Certified to global ISO standards, our programs deliver excellence, consistency, and a benchmarked learning experience that speaks for itself.

💼 3. Career Advancement & Employability – Enhances your resume and increases chances of promotions or job offers.

🤝 4. Non-Profit Trust Factor – Certifications from non-profit organizations are mission-driven rather than profit-driven.

📚 5. Access to Verified Learning & Resources – Often includes e-books, mock tests, and online support without hidden costs.

🔍 6. Transparency & Online Verification – Certifications come with a unique Enrolment ID for easy online verification by employers and institutions.

⏳ 7. Lifetime or Long-Term Validity – Certifications usually have lifetime validity or long-term recognition, reducing the need for frequent renewals.

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