This course covers all the basics of data analytics, including how to collect, clean, visualize, and model data to make predictions. You will learn how to use industry tools like Excel, SQL, Python, and Tableau/Power BI by doing them yourself. Find out how to read complicated datasets, make dashboards that matter, and use analytics to solve real-world business problems. After this training, you'll be ready for jobs in business intelligence and data analysis.
Data Analytics And Bi Training
Data Analytics Certification Training
With our Data Analytics Certification Training by Techpratham, you'll learn how to turn raw data into useful information. Find out how to use tools, techniques, and frameworks to make business decisions based on data.
5/5(4,890 Reviews)
Level
Advanced
Duration
8 Weeks
Placement Client
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About Data Analytics Certification Training
Training Plan
01
About trainer
Working professional who is carrying more then 10 years of industry experience.
02
Decks & Updated Content
Access to updated presentation decks shared during live training sessions.
03
e-Book
E-book provided by TechPratham. All rights reserved.
04
Assignments & MCQs
Module-wise assignments and MCQs provided for practice.
05
Video Recording
Daily Session would be recorded and shared to the candidate.
06
Projects
Live projects will be provided for hands-on practice.
07
Resume Building
Expert-guided resume building with industry-focused content support.
08
Interview Preparation
Comprehensive interview preparation with real-time scenario practice.
Data Analytics Certification Training Course Curriculum
Introduction to Data Analytics
Understand the fundamentals of data analytics and its business applications.
Data types
Data lifecycle
Business use cases
Tools & technologies
Data Collection & Data Sources
Recognize how to collect data from various sources, both structured and unstructured.
Primary vs Secondary data
Databases, APIs, spreadsheets, logs
Web scraping basics
Data warehousing concepts
Data Preparation & Cleaning
To ensure accurate analysis, learn how to clean, transform, and preprocess data.
Handling missing values & duplicates
Data transformation & normalization
Outlier detection
Data pipelines (ETL: Extract, Transform, Load)
Exploratory Data Analysis (EDA)
Find trends, identify abnormalities, and provide a statistical and visual summary of datasets.
Descriptive statistics (mean, median, variance, correlation)
Data profiling
Visual exploration with charts & graphs
Tools: Python (Pandas, Matplotlib), Excel
Data Visualization
Develop your ability to convey ideas through captivating and understandable images.
Principles of effective visualization
Dashboards & storytelling with data
Tools: Power BI, Tableau, Excel
Advanced visualizations (heatmaps, treemaps, interactive charts)
Statistical Analysis for Data Analytics
Utilize statistical methods for data analysis and interpretation.
Probability distributions
Hypothesis testing
Regression analysis (linear & logistic)
Correlation & causation
Data Analytics And Bi Training Courses
No related courses found
Additional Program Highlights
Comprehensive study materials and resources
HD
Professional resume building session
HD
Master your interview skills
HD
Real-world project demonstrations
HD
Upcoming Batches
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Who Should Take Data Analytics Certification Training
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Ops/Administrators/HR
Developers
BA/QA Engineers
Cloud / Infra
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Job Roles For Data Analytics Certification Training
Key Projects
Data Analytics Certification Training
Google – Search Insight Optimizer
Scenario: Analyzed large scale search and ad data to uncover user behavior trends improve campaign targeting accuracy and build dashboards for strategic decisions
Live Work:
- Built BigQuery data models
- Designed Looker KPI dashboards
- Created Python trend analysis
Outcome: Improved ad targeting and ROI growth
Amazon – Retail Demand Forecast Hub
Scenario: Developed predictive analytics models using sales inventory and customer data to forecast demand reduce stock gaps and support supply chain planning
Live Work:
- Built demand forecasting model
- Cleaned data using SQL
- Automated weekly KPI reports
Outcome: Reduced stock outs and excess cost
Meta – Social Engagement Metrics Lab
Scenario: Processed social media interaction data to measure engagement optimize content reach and provide insights for data driven marketing strategies
Live Work:
- Analyzed engagement patterns
- Built Power BI dashboards
- Created audience segmentation
Outcome: Increased campaign engagement rate
Microsoft – Cloud Usage Intelligence
Scenario: Evaluated cloud platform usage data to track performance trends optimize resource allocation and support enterprise decision making
Live Work:
- Modeled Azure usage data
- Designed executive dashboards
- Automated cost analysis
Outcome: Optimized cloud cost efficiency
Placement Process
Live Class with Industry Use Cases
- Interactive learning
- Real-world examples
- Expert guidance
- Doubt resolution
Daily Assignment & Weekly Assessments
- Hands-on practice
- Concept reinforcement
- Weekly evaluation
- Timely feedback
Project Testing & Deployment
- Project development
- Testing practice
- Deployment exposure
- Portfolio creation
Interview Preparation (Mock, PD, Alumni Session)
- Mock interviews
- Personal development
- Alumni guidance
- Confidence building
Resume Building
- Resume crafting
- Industry-focused format
- Skills highlighting
- Professional presentation
Placement
- Job assistance
- Interview support
- Career guidance
- Opportunity access
Latest Hiring
No hiring posts
Recently Placed Candidates
No placements available
Latest Hiring
No hiring posts
Our Success Mantra
Commitment
- Ensuring quality training every day
Fulfillment
- Meeting learning goals with confidence
Accomplishment
- Students achieving industry-ready expertise
Our Learner Voice
Beyond Courses:
Additional Support We Provide
24/7 Support
LinkedIn Profile
Resume Writing
Alumni Sessions
Interview Preparation
Live Projects
What Makes TechPratham Training Different?
Feature
TechPratham Advantage
Industry Standard Institutes
Real-World Implementation
Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.
Restricted or simulation-based access that lacks real-world complexity.
Subject Matter Experts
Mentorship from certified professionals with 15+ years of global industry experience.
Generic instructors with no hands-on implementation background.
2026 Ready Curriculum
AI-driven curriculum with advanced platform integrations and real-world configurations.
Basic, outdated syllabus that misses key technical integrations.
Daily & Weekly assignments
Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.
Self-paced learning with no accountability or progress tracking.
End-to-End Lifecycle
Hands-on project testing and deployment with portfolio-ready real-world exposure.
Basic lab exercises without any deployment or testing practice.
Interview Readiness
Structured interview preparation including mock interviews, PD sessions, and alumni guidance.
Minimal support limited to a generic certificate of completion.
Placement Support
Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.
Basic career tips with no direct industry connections.
Training Support
24/7 technical doubt resolution and personalized mentoring support.
Limited mentor availability and no support after class hours.
Affordable Fees
Competitive fixed pricing with flexible payment options and transparent fee structure.
Inflated fees with hidden costs and low return on investment.
Real-World Implementation
Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.
Restricted or simulation-based access that lacks real-world complexity.
Subject Matter Experts
Mentorship from certified professionals with 15+ years of global industry experience.
Generic instructors with no hands-on implementation background.
2026 Ready Curriculum
AI-driven curriculum with advanced platform integrations and real-world configurations.
Basic, outdated syllabus that misses key technical integrations.
Daily & Weekly assignments
Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.
Self-paced learning with no accountability or progress tracking.
End-to-End Lifecycle
Hands-on project testing and deployment with portfolio-ready real-world exposure.
Basic lab exercises without any deployment or testing practice.
Interview Readiness
Structured interview preparation including mock interviews, PD sessions, and alumni guidance.
Minimal support limited to a generic certificate of completion.
Placement Support
Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.
Basic career tips with no direct industry connections.
Training Support
24/7 technical doubt resolution and personalized mentoring support.
Limited mentor availability and no support after class hours.
Affordable Fees
Competitive fixed pricing with flexible payment options and transparent fee structure.
Inflated fees with hidden costs and low return on investment.
Do I need programming experience to join this course?
Who should take this course?
Do I need coding experience to join?
What are the prerequisites?
Which tools and technologies will I learn?
What skills will I gain by the end?
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