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Gradeup Infotech Academy | ★ 4.9/5 Student Rating

Best
Data Analytics Course in Ghaziabad

Join our Microsoft Certified Industry Experts and master high-demand tools like Excel (Copilot), SQL, Python, & Power BI. Get 100% placement assistance in Noida, Delhi, and Gurugram.

100%
Practical Labs
15+
Industry Projects
360°
Placement Support
interactive_dashboard.py
Active Query Efficiency
94.8%
+12.4% (vs yesterday)
Predictive Confidence
98.2%
Optimized ML Model
Revenue Forecasting Matrix
Predictive Mode
$12.4k
$18.9k
$15.1k
$24.8k
$32.1k
$39.5k (Forecast)
Q1 Q2 Q3 Q4 Q1 (P) Q2 (P)
> model.fit(x_train, y_train)
Epoch 100/100 - loss: 0.0024 - accuracy: 0.985
Core Overview

What is Data Analytics?

Data Analytics is the process of collecting, analyzing, visualizing, and interpreting data to find meaningful information and help businesses grow by making better business decisions. Data Analytics helps companies and industries understand demands, trends, and customer behavior using meaningful data. Today, industries generate large amounts of data every day. Companies use Data Analytics to improve their sales, marketing strategies, customer experience, and business performance. Therefore, Data Analytics has become one of the most in-demand career fields worldwide.

Descriptive Analytics

"What happened?" - Summarizes historical data to identify trends, performance drops, and achievements.

Excel PowerQuery Dashboards

Diagnostic Analytics

"Why did it happen?" - Drill down into abnormalities, customer feedback cycles, and A/B test results to understand causal drivers.

SQL Subqueries Root Cause

Predictive Analytics

"What will happen?" - Leverages regression models, clustering algorithms, and historical data patterns to forecast business trajectories.

Python Pandas Regression ML

Prescriptive Analytics

"How can we optimize?" - Recommends concrete actions or automated decisions based on predicted simulations.

Optimization Ops A/B Experiments
🎯 The Gradeup Advantage

Why learn with GradeUp Infotech Academy in Ghaziabad?

Ghaziabad is rapidly growing as a technology and educational hub in Delhi NCR. We bridge the gap between classroom theory and real-world execution with local, practical, and highly affordable mentorship.

💸

Affordable Fees

Highly competitive pricing compared to metro cities, with flexible installment options designed to make tech education accessible.

Quality Training

Master high-demand tools (Python, SQL, Power BI, Excel) with hands-on lab training under Microsoft Certified industry mentors.

👨‍🎓

500+ Trained

Join a massive, growing alumni network working at top tech firms, multinational corporations, and startups in Delhi NCR.

🏆

100+ Placements

Proven track record of getting freshers and professionals placed at top companies in Noida, Delhi, and Gurugram.

Syllabus Breakdown

Course Curriculum

Our modular syllabus is strictly structured to build core knowledge sequentially. You start with standard analytics formulas, progress to databases and Python programming, and culminate with dashboard storytelling and predictive models.

Module 01 / Core Fundamentals

Art of Analytical Foundations & Excel

Every master analyst starts with foundational data structures and probability models. In this module, you will transition from standard tables to analytical dashboards using Microsoft Excel, covering complex statistical principles.

  • Formula architectures (XLOOKUP, INDEX/MATCH, Dynamic Arrays)
  • Descriptive Statistics (Skewness, Kurtosis, StdDev, Variance)
  • Pivot charts, Slicers & clean UI reporting
  • Introduction to Hypothesis Testing & Z/T-distribution

Tools Mastered

Microsoft Excel Excel PowerQuery Solver Toolpak
Module Project
Dynamic Sales Performance Tracker Dashboard
Module 02 / Database Querying

Relational Databases & SQL Mastering

Data is stored in structural relational databases. You will learn to formulate complex queries to retrieve, aggregate, filter, and modify metrics from large databases hosting millions of transactional records.

  • Querying structures: SELECT, WHERE, GROUP BY, HAVING, ORDER BY
  • Complex JOINS (INNER, LEFT, RIGHT, FULL OUTER) & set operators
  • Window Functions (ROW_NUMBER, RANK, LEAD, LAG) for pattern tracking
  • Subqueries, Common Table Expressions (CTEs), and query planning

Tools Mastered

PostgreSQL MySQL DBeaver Client
Module Project
E-Commerce User Retention & Cohort SQL Database Query Analysis
Module 03 / Data Manipulation

Python Programming for Data Science

Transition to programmatic analysis. Python provides unmatched flexibility for reading custom file formats, API integrations, data scraping, cleaning structural anomalies, and applying complex statistics.

  • Python core paradigms: Loops, lists, dictionaries, custom functions
  • Pandas DataFrames: filtering, grouping, merging, and reshaping matrices
  • Numerical math operations using NumPy arrays
  • Visualizations with Matplotlib, Seaborn, and clean export structures

Tools Mastered

Python 3 Pandas & NumPy Jupyter Notebooks
Module Project
Automated Web Scraper & Clean Sentiment Analysis pipeline
Module 04 / Visual Storytelling

Business Intelligence & Visual Analytics

Data becomes impactful only when business executives can read it. You will master dashboard layouts and interactive stories inside Power BI and Tableau, focusing on visual hierarchy, UX, and real-time metrics refreshing.

  • Dashboard Design: Visual hierarchy, grid layouts, action filters
  • DAX (Data Analysis Expressions) & calculated metrics inside Power BI
  • Tableau data joins, calculated fields, and mapping visualizations
  • Executive presentation: Translating chart data to business values

Tools Mastered

Power BI Desktop Tableau Creator Figma (UI Planning)
Module Project
Interactive Executive Financial Performance KPI Dashboard
Module 05 / Forecasting Modeling

Predictive Modeling & Introduction to ML

Step into predictive systems. In this module, you will learn to implement statistical machine learning algorithms to classify inputs, cluster patterns, and model continuous forecasts.

  • Supervised learning: Linear & Logistic Regression
  • Classification logic: Decision Trees & Random Forest foundations
  • Unsupervised clustering (K-Means) for demographic customer grouping
  • Model performance evaluations: ROC/AUC curves, Precision, Recall

Tools Mastered

Scikit-Learn Statsmodels Scipy Stats
Module Project
Telecom Subscriber Churn Prediction & Model Evaluation
Module 06 / Industry Showreel

Capstone Portfolio & Placement Prep

The ultimate phase. You will synthesize all mastered skillsets (SQL queries, Python processing, Power BI visualizations, predictive modeling) to build a production-ready portfolio that is presented directly to hiring studios and tech enterprises.

  • Structuring a comprehensive GitHub data portfolio
  • Interactive presentations & mock technical interviews
  • Optimization of resume & LinkedIn profiling for tech recruiters
  • Interview coding puzzles (SQL & Python runtime loops)

Target Outcomes

Complete Portfolio Mock Cleared Hiring Partners List
Module Project
Full-scale End-to-End Enterprise Insight & Prediction Deck
Placement Success

Get Job in Your Dream Company

Our dedicated placement cell works tirelessly to connect you with top MNCs and tech startups across Delhi NCR. Here are some of the industry leaders where our alumni are placed.

Target Career Opportunities

Upon completing our modular training program, you qualify for several key roles in the industry

Role 01

Data Analyst

Analyze database patterns, build sales trackers, and clean dirty metrics to deliver structural reports.

Avg. Salary ₹4.5 - ₹8 LPA
Role 02

Business Analyst

Act as the bridge between database developers and business management to optimize execution workflows.

Avg. Salary ₹5 - ₹9 LPA
Role 03

SQL Developer

Formulate database triggers, index heavy query schemas, and build analytical pipelines.

Avg. Salary ₹4 - ₹7 LPA
Role 04

Power BI Developer

Develop calculations using DAX functions, build dashboard templates, and manage workspace reports.

Avg. Salary ₹4.5 - ₹7.5 LPA
Insights & Trends

Academy Blog

Keep up with the fast-evolving landscape of business intelligence, database technologies, and AI analytics workflows.

Got Questions?

Frequently Asked Questions

A Data Analytics Course teaches you how to collect, analyze, visualize, and interpret data to make business decisions. You'll learn industry-demand tools such as Excel, SQL, Power BI, Tableau, and Python, helping you build a successful career as a Data Analyst. Data Analytics Course, Data Analyst Training, Data Analytics Certification
The Best Data Analytics Course is suitable for: Students and fresh graduates Working professionals IT and non-IT candidates Business owners and entrepreneurs Career changers looking for high-demand skills No prior coding experience is required for most beginner-level courses. Data Analytics Course for Beginners, Data Analytics Training Institute, Data Analyst Course
We cooperate with over 60+ tech firms, consultancy hubs, and digital agencies across the region. During Module 6, our career support team conducts technical mock evaluations, structures your GitHub repositories, and directly forwards your profile to partners hiring Junior/Associate Data Analysts.
We offer both offline lab-based classes at our Ghaziabad campus and interactive online sessions. The offline mode gives you direct access to our specialized pen-tablet and computing databases labs with one-on-one counselor support.
You will build 15+ practical projects, including: an automated financial scraping pipeline in Python, database user retention matrices in SQL, executive dashboards in Power BI/Tableau, and churn risk models using Scikit-Learn.

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