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CoursesHigh Demanding
Data Analytics And Power BI Training in Delhi
High Demanding
Data Analytics And Power BI Training in Delhi

Data Analytics and Power BI Training in Delhi provides expert-led mastery of SQL, Python, and DAX. Bridge the gap with industry-recognized certification.

5/5(4,890 Reviews)

Level

Advanced

Duration

8 weeks

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About Data Analytics And Power BI Training in Delhi

Data Analytics and Power BI Training in Delhi is a premier certification program designed to transform aspiring professionals into industry-ready data experts. In today’s competitive landscape, the ability to derive actionable insights from complex datasets is a critical asset. Our curriculum offers a rigorous, deep dive into the entire data ecosystem, beginning with foundational data querying in SQL and advanced scripting with Python.

The core of the program focuses on mastering Power BI and Tableau, enabling you to architect dynamic, interactive dashboards that drive executive-level decision-making. Unlike theoretical courses, our practitioner-led model emphasizes real-world application through four intensive capstone projects based on the Delhi NCR business market. You will gain mastery over DAX formulas, data modeling, and ETL processes. Graduates emerge with a robust technical portfolio and the storytelling skills necessary to excel in high-stakes corporate roles. Elevate your career with elite mentorship and 24/7 lab access.

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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 & Power BI

Data Transformation & SQL Fundamentals

Master the art of querying and managing relational databases. Learn to extract, filter, and structure data for complex analytical requirements.

Relational Database Management Systems (RDBMS)
SQL Joins and Subqueries
Data Aggregation and Grouping
Advanced Window Functions
Data Normalization Techniques
Stored Procedures and Triggers
Query Performance Optimization

Python for Data Science & Automation

Leverage Python to automate repetitive tasks and perform advanced data manipulation using industry-leading libraries and scripting techniques.

Python Syntax and Data Structures
NumPy for Numerical Computing
Pandas for Data Wrangling
Data Cleaning and Handling Missing Values
Exploratory Data Analysis (EDA)
Automation of Data Workflows
Integration with External APIs

Data Visualization with Power BI

Transform raw datasets into interactive, executive-level dashboards. Master the Power BI ecosystem to drive strategic business decisions.

Power Query and Data Transformation (M Language)
Data Modeling and Relationship Management
DAX (Data Analysis Expressions) Basics to Advanced
Interactive Report Design & Visual Cues
Power BI Service & Workspace Collaboration
Row-Level Security (RLS) Implementation
Gateway Configuration and Scheduled Refreshes

Statistical Analysis & Business Forecasting

Apply rigorous statistical frameworks to interpret trends, validate hypotheses, and build predictive models for organizational growth.

Descriptive and Inferential Statistics
Probability Distributions
Hypothesis Testing and P-Values
Correlation vs. Causation Analysis
Linear and Logistic Regression Models
Time-Series Analysis and Forecasting
Identifying Outliers and Data Variance

Advanced Tableau Insights

Explore sophisticated visualization techniques in Tableau to create compelling data stories and perform deep-dive exploratory analysis.

Tableau Architecture and File Types
Calculated Fields and Level of Detail (LOD) Expressions
Mapping and Spatial Data Analysis
Dashboard Actions and Interactivity
Storyboarding for Stakeholder Presentations
Data Blending and Cross-Database Joins
Performance Recording and Optimization

Capstone Projects & Industry Integration

Synthesize your technical skills by solving real-world business problems through comprehensive, domain-specific analytical projects.

Financial Reporting and Performance Analysis
Retail and E-commerce Inventory Optimization
Customer Churn and Sentiment Analysis
Building End-to-End Data Pipelines
Executive Dashboard Presentation Skills
Portfolio Development on GitHub/LinkedIn
Technical Interview and Mock Drill Sessions

High Demanding Courses

No related courses found

Additional Program Highlights

Learning Materials

Comprehensive study materials and resources

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Resume Writing

Professional resume building session

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Interview Preparation

Master your interview skills

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Live Project Demo

Real-world project demonstrations

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Upcoming Batches

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Who Should enroll in Data Analytics & Power BI Course

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Job Roles After Data Analytics And BI Training

Business Intelligence (BI) Analyst

Data Quality Analyst

BI Developer

Key Projects

Data Analytics And BI

Zomato

ZomatoFood Delivery Sales Analysis


Scenario: Analyze order patterns across Connaught Place and Hauz Khas to optimize delivery times and identify peak demand periods for various regional cuisines in Delhi.

Live Work:

  • Cleaned unstructured restaurant rating data.
  • Built heat maps for high-volume delivery zones.
  • Developed dynamic dashboards for order trends.
Outcome: Improved delivery efficiency by 15% in NCR.
Maruti Suzuki

Maruti SuzukiAutomotive Supply Chain Tracking


Scenario: Monitor inventory levels and supply chain logistics between the Manesar plant and regional showrooms to prevent stockouts of high-demand vehicle models.

Live Work:

  • Designed automated SQL inventory alerts.
  • Tracked transport lead times using Power BI.
  • Performed variance analysis on monthly production.
Outcome: Reduced inventory holding costs by 12% annually.
MakeMyTrip

MakeMyTripTravel Booking Revenue Insights


Scenario: Examine seasonal booking trends for flights and hotels departing from IGI Airport Delhi to identify profitable routes and optimize dynamic pricing strategies.

Live Work:

  • Analyzed customer churn using Python scripts.
  • Visualized booking peaks for long weekends.
  • Created KPI reports for seasonal revenue growth.
Outcome: Boosted booking conversions by 10% via data.
Max Healthcare

Max HealthcareHealthcare Patient Analytics


Scenario: Track patient inflow and resource utilization across Delhi-based hospitals to improve doctor scheduling and reduce wait times in emergency departments.

Live Work:

  • Structured patient demographic data in SQL.
  • Developed real-time bed availability dashboards.
  • Forecasted ER admissions using trend analysis.
Outcome: Reduced average patient wait time by 20 mins.

Placement Process

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Our Success Mantra

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Commitment

  • Ensuring quality training every day

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Fulfillment

  • Meeting learning goals with confidence

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Accomplishment

  • Students achieving industry-ready expertise

Our Learner Voice

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Beyond Courses:

Additional Support We Provide

24/7 Support

LinkedIn Profile

Resume Writing

Alumni Sessions

Interview Preparation

Live Projects

What is the primary difference between Data Analytics and Business Intelligence?

Who is eligible to enroll in this Data Analytics and BI course?

Do I need a coding background to learn Data Analytics?

Which tools will be covered in the training program?

Why is Power BI important for a Data Analyst?

Does the course include hands-on practical projects?

How should a dataset with 30% missing critical values be handled?

What are the primary troubleshooting steps for a slow Power BI report?

What is the practical distinction between the WHERE and HAVING clauses in SQL?

How are complex technical insights effectively communicated to non-technical stakeholders?

What determines the choice between a Calculated Column and a Measure in Power BI?

How is data integrity and lack of bias ensured during analysis?

Data Analytics And BI Training Certification

The Data Analytics & Power BI certification demonstrates your capability to handle data effectively and turn it into meaningful business insights using Power BI.

It highlights your expertise in:

  • Data preparation and cleaning
  • Data modeling using DAX and Power Query
  • Creating dashboards and reports for visualization
  • Performing business analysis and supporting decision-making

This certification is well-recognized in the industry and opens up career opportunities such as Data Analyst, BI Analyst, and Reporting Specialist.

The training duration (excluding the exam) may vary depending on the institute, but typically:

  • Short-term course: around 8 weeks

The PL-300 certification exam usually follows this structure:

  • Total Questions: 40–60
  • Question Types:Multiple choice
  • Case studies
  • Drag and drop
  • Scenario-based questions


Industry-Recognized Certification

Certificate
Data Analytics And BI

News Highlights

TechPratham Introduces Hire-Train-Deploy Model to Transform HR & ERP Talent in the AI Era
TechPratham Empowering Future Professionals Through AI-Focused HR & ERP Training

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