Predictive Analytics Essential Training
Prepare real data, build regression and classification models, evaluate them properly and tune them without overfitting. Learn Predictive Analytics through a clear Foundation to Advanced path, with hands-on labs, live cohort options, certification support and full LMS access.
Last updated
Self-paced video subscription
Billed yearly at ₹9,996. This includes all four levels, complete LMS access for one year, plus 20+ additional courses and 50+ tools access.
- All four Predictive Analytics levels in one price.
- 20+ additional courses and 50+ tools included, even when subscribing to one course.
- Best fit for learners who want full-library access and flexible progress.
Live & Interactive session
Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.
- Live small-batch cohort from soon.
- Interactive discussion and lab troubleshooting.
- Recommended for teams that need guided implementation.
1:1 Live training
The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.
About Predictive Analytics Essential Training.
Understand where Predictive Analytics fits in modern software delivery, what this level covers, and how the program builds practical confidence step by step.
Program overview
Predictive Analytics is taught as a practical technical skill for modern engineering, operations and platform teams. The course explains where the tool fits, how it is used in real delivery environments, and how learners can apply it through guided practice.
This DevOpsSchool Predictive Analytics program is built for working professionals who want usable skills instead of only conceptual exposure. The training emphasizes live examples, workflow clarity, operational controls and progressive skill depth from Foundation to Essential.
Private Predictive Analytics training for delivery teams, platform groups and engineering organizations.
DevOpsSchool provides corporate Predictive Analytics training for teams that need faster adoption, workflow standardization, administrative control, integration guidance and governance-ready rollout. Private batches can be aligned to development practice, release workflow, access model, maturity level and internal tooling.
- Private online or classroom delivery for engineering teams
- Aligned to Predictive Analytics usage maturity, admin depth and collaboration patterns
- Useful for rollout, migration, governance and workflow consistency goals
- Can be tailored for developers, administrators, DevOps teams and leadership stakeholders
Why teams use DevOpsSchool
DevOpsSchool combines live demonstration, practical workflow discussion, implementation-oriented examples, and strong post-session learning support. That makes the training more usable for real teams than generic slide-led courses.
Choose any level. The page still shows the full progression.
Foundation, Essential, Intermediate and Advanced are presented as one linked training flow. Self-paced buyers get all levels by default, even if they start from only one course page.
Instructor-led, self-paced and corporate delivery options.
Compare delivery format, duration, level access and batch style. Fees are shown only in the top decision panel and once again after the agenda.
| Duration | Mode | Level access | Batch |
|---|---|---|---|
| 8 to 10 Hrs. max | Live & Interactive | Essential | Public batch |
| 8 to 10 Hrs. max | 1:1 Live training | Essential | Starts immediately |
| 1 year LMS access | Self-paced video | All 4 levels | Anytime access |
| 2 Days | Corporate | Predictive Analytics Essential Training | Private team batch |
What learners should be able to do after Predictive Analytics training.
The outcomes are written for practical delivery teams: developers, DevOps engineers, release engineers, administrators and technical leads.
Build accurate predictive models
Prepare data and build, evaluate and tune regression, classification and forecasting models.
Explain and trust predictions
Interpret models with explainability tools and validate them against leakage and bias.
Turn predictions into value
Deploy, monitor and govern models and link them to measurable business decisions.
Why this skill, what you will achieve, and who should attend.
Use this section to decide whether the course matches your role, current experience and expected Predictive Analytics responsibilities before reviewing the detailed agenda.
Why Predictive Analytics matters
- Predictive Analytics helps teams standardize a critical part of their software delivery, infrastructure, automation or operations workflow.
- It gives learners a repeatable way to move from basic usage to confident execution in team and enterprise environments.
- For DevOps and platform teams, Predictive Analytics becomes more valuable when connected with automation, governance, monitoring and delivery practices.
- Teams using Predictive Analytics effectively reduce ad-hoc execution and move toward consistent engineering standards.
Objectives
- Understand Predictive Analytics concepts, architecture, terminology and operational usage patterns.
- Learn practical configuration, workflow design, access controls, team usage and quality practices.
- Apply Predictive Analytics in real delivery workflows using automation, integrations, traceability and governance patterns.
- Build practical confidence to use Predictive Analytics for individual, team and organizational use cases.
Pre-requisites
- Basic computer literacy and familiarity with software development workflows.
- Helpful but not mandatory: introductory DevOps, cloud, automation or software delivery awareness.
- No deep programming background is required for the Foundation and Essential levels.
Who this course is for
- Developers, administrators and engineers who need practical Predictive Analytics usage skills.
- DevOps engineers, release engineers, SREs and platform teams managing delivery standards.
- Engineering leads and technical managers responsible for workflow quality, access controls and governance.
- Corporate teams migrating to or standardizing on Predictive Analytics.
Small-batch live training starts every month.
Weekday batches start on the 1st and weekend batches on the first Saturday of every month. One-to-one (1:1) training can start immediately; corporate sessions are scheduled on demand.
Weekend live batch
Starts on the first Saturday of every month. Weekend sessions with demos, labs and Q&A; max 10 learners.
Weekday live batch
Starts on the 1st of every month. Weekday sessions for working professionals and distributed teams; max 10 learners.
Ask advisorAgenda depth up to the selected level.
This page shows the learning flow from Foundation through Essential. Each level adds to the previous one, and the agenda stops at the current page level. Day counts are for corporate (day-wise) delivery; live online batches cover the same agenda in max 8 to 10 hours.
Foundation Level: Analytics concepts, statistics, tools and first modelDay 1
- Analytics spectrum: descriptive, diagnostic, predictive and prescriptive analytics
- Business use cases: churn prediction, demand forecasting, credit risk, fraud and predictive maintenance
- CRISP-DM lifecycle: business understanding, data understanding, preparation, modelling, evaluation and deployment
- Data fundamentals: structured and unstructured data, data sources, target variables and features
- Statistics refresher: distributions, mean, variance, percentiles and correlation vs causation
- Probability basics: conditional probability, Bayes' theorem and expected value
- Tooling: Python with Jupyter, pandas, scikit-learn and Matplotlib; alternatives such as R and Excel
- Environment setup: installing Python with Anaconda or uv, creating environments and launching notebooks
- Loading and exploring data: reading CSV and Excel files, summary statistics and simple charts
- First predictive model: simple and multiple linear regression with scikit-learn
- Train and test split: why we hold out data and how to evaluate with MAE and RMSE
- Ethics and data privacy: consent, sensitive attributes and responsible use of predictions
Essential Level = Foundation + Data preparation, regression, classification and evaluationDay 2 · 2 days cumulative
- Data cleaning: missing values, outliers, duplicates and inconsistent categories
- Exploratory data analysis: distributions, relationships and visual storytelling with seaborn
- Feature engineering: encoding categories, scaling, binning, date features and interaction terms
- Regression in depth: polynomial terms and regularised Ridge, Lasso and Elastic Net models
- Classification models: logistic regression, decision trees, k-nearest neighbours and naive Bayes
- Classification metrics: confusion matrix, precision, recall, F1 score and ROC-AUC
- Choosing thresholds: cost-sensitive decisions and precision-recall trade-offs
- Cross-validation: k-fold and stratified validation for reliable estimates
- Overfitting and underfitting: the bias-variance trade-off and learning curves
- Hyperparameter tuning: GridSearchCV and RandomizedSearchCV
- Communicating results: translating model metrics into business impact for stakeholders
Choose live training or a full year of self-paced access.
If someone buys Foundation, Essential, Intermediate or Advanced as self-paced video, the price stays the same and access is granted to all four levels by default.
Self-paced video subscription
Billed yearly at ₹9,996. This includes all four levels, complete LMS access for one year, plus 20+ additional courses and 50+ tools access.
- All four Predictive Analytics levels in one price.
- 20+ additional courses and 50+ tools included, even when subscribing to one course.
- Best fit for learners who want full-library access and flexible progress.
Live & Interactive session
Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.
- Live small-batch cohort from soon.
- Interactive discussion and lab troubleshooting.
- Recommended for teams that need guided implementation.
1:1 Live training
The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.
- Start immediately: no waiting for the monthly batch.
- One learner, one trainer: full attention on your questions.
- Sessions planned around your working hours.
- Your pace, with examples from your own projects and tools.
Method of training and assessment.
The course emphasizes practical demonstration, hands-on labs and assignment-based validation instead of passive lecture-only learning.
| SL | Method of training and assessment | Weightage |
|---|---|---|
| 1 | Understanding the problem space | 5% |
| 2 | Concept discussion | 10% |
| 3 | Live demo and walkthrough | 25% |
| 4 | Lab and hands-on exercises | 50% |
| 5 | Assignments and evaluation | 10% |
Labs, exercises and real workflow practice.
Every level moves from explanation to hands-on practice, review and troubleshooting.
Predict house prices with regression
Load a housing dataset, explore it with pandas and charts, fit a linear regression, and report its error on held-out test data.
Build a customer churn classifier
Clean and engineer features from customer data, compare logistic regression and decision trees with cross-validation, and choose a business-driven threshold.
Predictive Analytics is taught as part of a working delivery ecosystem.
You learn where the tool sits in the wider engineering workflow, not in isolation.
Core foundations
Terminology, concepts, architecture and the operating model behind the tool.
Workflow traceability
Map practical work to tasks, approvals, documentation and delivery visibility.
Automation and integration
Use Predictive Analytics with validation checks, automation hooks and delivery workflows.
Governance controls
Operate with permissions, approvals, policy checks and production-safe workflows.
How your practical work is assessed.
Your certificate is backed by labs, assignments, capstone thinking and completion evidence.
Assignments
Level-specific assignments verify setup, configuration, workflow quality and operating discipline.
Hands-on validation
Learners are expected to complete practical usage, automation and troubleshooting exercises.
Completion record
Certificate issuance is tied to demonstrated participation, practical completion and course-level coverage.
Led by Rajesh Kumar and the DevOpsSchool practitioner network.
Training is grounded in practical DevOps, SRE, security, release and platform engineering experience with real enterprise delivery context.
Earn a DevOpsSchool Predictive Analytics certificate.
Completion includes a digital certificate with credential details, practical assignments and a learning record aligned to the selected Predictive Analytics level.
Certificate verificationCertificate of Completion
Predictive Analytics Essential Training
Unique credential ID, verifiable online
What learners say about training with Rajesh Kumar.
“Rajesh is very good trainer. Rajesh was able to resolve our queries and question effectively. We really liked the hands-on examples covered during this training program.”
“Very well organized training, helped a lot to understand the AWS concept and detailed related to various tools. Very helpful”
“The training was very useful and interactive. Rajesh helped develop the confidence of all.”
Rated 4.6 on Google · All testimonials · Video reviews on YouTube
Quoted as published, from learners in Rajesh Kumar's live trainings across DevOpsSchool courses.
Used by developers, DevOps engineers, release leads and engineering managers.
Private batches are available for teams that want the same agenda aligned to their own tools and workflows.
Why this Predictive Analytics path is different.
The value is not only one course. The subscription unlocks the full learning ecosystem for one year.
| Feature | DevOpsSchool Predictive Analytics Training | Typical short course |
|---|---|---|
| Levels | Foundation, Essential, Intermediate, Advanced | Single generic syllabus |
| Self-paced access | All four levels plus 20+ courses and 50+ tools | Usually one course only |
| Live training | Demos, labs, Q&A and assignment review | Often lecture-heavy |
| Certificate | DevOpsSchool completion certificate | Varies by provider |
Questions learners ask before joining.
Does Foundation cost less than Advanced?
No. Self-paced pricing is intentionally the same because access includes all four levels by default.
What is included in the yearly subscription?
One year of complete LMS access, all four levels for the selected course, plus 20+ additional courses and 50+ tools access.
Can corporate teams request customization?
Yes. The live format can be aligned to team tools, governance requirements, workflows and internal delivery standards.
What is the recommended sequence?
Foundation → Essential → Intermediate → Advanced. The agenda is designed so each level builds on the previous one.
Talk to DevOpsSchool before choosing the batch.
Use this support section for batch questions, corporate planning, LMS access clarifications, or guidance on which Predictive Analytics level fits your team.
India / Worldwide: +91 99057 40781
USA: +1 (469) 756-6329
Email: contact@DevOpsSchool.com
Chat on WhatsAppExtend the course with articles, explainers and workflow guidance.
Continue learning with supporting articles that connect Predictive Analytics practices to DevOps, automation, governance and delivery workflows.
Training snapshots and certificate preview.
A look at the completion certificate and the course.
Certificate preview
See what course completion evidence looks like.
Tool-focused training
Course visuals reinforce the Predictive Analytics workflow and subject area.
Live batch experience
Training supports live online, private team and workshop-style delivery.
Start Predictive Analytics Essential training.
Next weekday batch starts on the 1st; weekend batch on the first Saturday. Batches are capped at 10 learners. Send your details and DevOpsSchool will share the syllabus and batch options.