Become a Data Analytics Expert – Master Excel, SQL & Visualization Tools!

Transform raw data into actionable insights with our comprehensive Data Analytics course in Noida. Learn from industry experts with real-world projects and 100% placement assistance.

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Data Analytics Training Course in Noida
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Why Choose Data Analytics?

Data Analytics is one of the fastest-growing fields with high demand across industries. Here's why our course stands out:

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High Industry Demand

Data Analytics roles have grown by 45% in the last year with companies across sectors hiring analytics professionals.

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Excellent Salary Packages

Entry-level Data Analysts earn ₹5-9 LPA with experienced professionals commanding ₹12-20 LPA packages.

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Quick Career Growth

Move from Data Analyst to Senior Analyst, Analytics Manager, or Business Analyst within 2-3 years.

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Industry-Relevant Curriculum

Learn tools and techniques actually used in companies like Amazon, Google, TCS, and Accenture.

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Expert Instructors

Learn from industry professionals with 8+ years of experience in data analytics and business intelligence.

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Hands-on Projects

Work on 8+ real-world projects including sales analysis, customer segmentation, and business dashboards.

Course Overview

Our comprehensive Data Analytics course is designed to transform beginners into job-ready professionals

Data Analytics is the process of examining datasets to draw conclusions about the information they contain. In today's data-driven world, organizations across all industries are relying on data analysts to help them make informed business decisions.

Our Data Analytics Training Course in Noida is meticulously designed to provide you with the skills needed to excel in this high-demand field. You'll learn how to collect, process, and analyze data using industry-standard tools and techniques.

What is Data Analytics?

Data Analytics involves inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. It has multiple facets and approaches, encompassing diverse techniques under a variety of names in different business, science, and social science domains.

Why Data Analytics is Important?

In the digital age, data is being generated at an unprecedented rate. Every click, purchase, like, and share produces data that businesses can use to understand their customers better, optimize operations, and predict future trends. Data Analytics helps organizations:

  • Make data-driven decisions rather than relying on intuition
  • Identify new business opportunities
  • Improve operational efficiency
  • Understand customer behavior and preferences
  • Predict market trends and stay ahead of competition

Who Should Take This Course?

Our Data Analytics course is perfect for:

  • Fresh graduates looking to start a career in analytics
  • Working professionals wanting to upskill and transition into data roles
  • Business professionals who want to make data-driven decisions
  • Anyone interested in understanding how to extract insights from data

Career Opportunities in Data Analytics

After completing this course, you can pursue various roles such as:

  • Data Analyst
  • Business Analyst
  • Reporting Analyst
  • Marketing Analyst
  • Financial Analyst
  • Operations Analyst

According to recent industry reports, the demand for data analytics professionals in India is expected to grow by 30% annually, with over 1 million job openings in the next 2 years. This makes it one of the most promising career paths in the current job market.

Course Curriculum

Comprehensive modules covering all aspects of Data Analytics from fundamentals to advanced techniques

📊 Module 1: Introduction to Data Analytics

Duration: 2 Weeks
  • Understanding Data Analytics and its importance
  • Types of Data Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
  • Data Analytics lifecycle and process
  • Role of a Data Analyst in organizations
  • Industry applications and case studies
  • Tools and technologies overview
  • Data privacy and ethics considerations

📝 Module 2: Excel for Data Analysis

Duration: 3 Weeks
  • Advanced Excel functions and formulas
  • Data cleaning and preparation techniques
  • PivotTables and PivotCharts for data summarization
  • Data validation and conditional formatting
  • Power Query for data transformation
  • Introduction to Power Pivot and DAX
  • Dashboard creation and visualization
  • Practical exercises with real datasets

📝 Module 2: Excel for Data Analysis

Duration: 3 Weeks
  • Advanced Excel functions and formulas
  • Data cleaning and preparation techniques
  • PivotTables and PivotCharts for data summarization
  • Data validation and conditional formatting
  • Power Query for data transformation
  • Introduction to Power Pivot and DAX
  • Dashboard creation and visualization
  • Practical exercises with real datasets

🗃️ Module 3: SQL for Data Analysis

Duration: 4 Weeks
  • Database fundamentals and relational concepts
  • SQL basics: SELECT, FROM, WHERE clauses
  • Filtering, sorting, and limiting results
  • Joins: INNER, LEFT, RIGHT, FULL OUTER
  • Aggregate functions and GROUP BY
  • Subqueries and common table expressions
  • Window functions for advanced analytics
  • Performance optimization and best practices
  • Hands-on projects with real databases

📊 Module 4: Statistics for Data Analysis

Duration: 3 Weeks
  • Descriptive statistics: mean, median, mode
  • Measures of dispersion: variance, standard deviation
  • Probability distributions and their applications
  • Hypothesis testing and confidence intervals
  • Correlation and regression analysis
  • ANOVA and chi-square tests
  • Statistical significance and p-values
  • Practical implementation using Excel and Python

📊 Module 4: Statistics for Data Analysis

Duration: 3 Weeks
  • Descriptive statistics: mean, median, mode
  • Measures of dispersion: variance, standard deviation
  • Probability distributions and their applications
  • Hypothesis testing and confidence intervals
  • Correlation and regression analysis
  • ANOVA and chi-square tests
  • Statistical significance and p-values
  • Practical implementation using Excel and Python

📈 Module 5: Data Visualization with Tableau

Duration: 3 Weeks
  • Tableau interface and workspace overview
  • Connecting to various data sources
  • Creating basic charts: bar, line, pie, scatter plots
  • Advanced visualizations: heat maps, tree maps, box plots
  • Calculated fields and parameters
  • Dashboard design and storytelling
  • Filters, actions, and interactivity
  • Publishing and sharing dashboards
  • Best practices for effective data visualization

💡 Module 6: Power BI for Business Intelligence

Duration: 3 Weeks
  • Power BI ecosystem and components
  • Data transformation with Power Query
  • Data modeling and relationship management
  • DAX formulas for calculated columns and measures
  • Creating interactive reports and visualizations
  • Power BI service and collaboration features
  • Row-level security and data governance
  • Automated refresh and scheduling
  • Integration with other Microsoft tools

💡 Module 6: Power BI for Business Intelligence

Duration: 3 Weeks
  • Power BI ecosystem and components
  • Data transformation with Power Query
  • Data modeling and relationship management
  • DAX formulas for calculated columns and measures
  • Creating interactive reports and visualizations
  • Power BI service and collaboration features
  • Row-level security and data governance
  • Automated refresh and scheduling
  • Integration with other Microsoft tools

🏆 Capstone Project 1: Sales Performance Analysis

Duration: 2 Weeks
  • Analyze sales data from multiple regions
  • Identify top-performing products and categories
  • Calculate key performance indicators (KPIs)
  • Create interactive sales dashboards in Tableau
  • Provide actionable insights for sales strategy
  • Present findings to stakeholders

🏆 Capstone Project 2: Customer Analytics

Duration: 2 Weeks
  • Customer segmentation using clustering techniques
  • Customer lifetime value calculation
  • Churn prediction and analysis
  • Purchase behavior pattern recognition
  • Create customer analytics dashboard in Power BI
  • Recommend customer retention strategies

🏆 Capstone Project 2: Customer Analytics

Duration: 2 Weeks
  • Customer segmentation using clustering techniques
  • Customer lifetime value calculation
  • Churn prediction and analysis
  • Purchase behavior pattern recognition
  • Create customer analytics dashboard in Power BI
  • Recommend customer retention strategies

Tools & Technologies Covered

Master industry-standard tools used by top companies worldwide

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Microsoft Excel

The most widely used spreadsheet application for data analysis and visualization

  • Advanced formulas and functions
  • PivotTables and data summarization
  • Power Query for ETL operations
  • Dashboard creation and reporting
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SQL & Databases

Essential for querying and managing relational databases

  • Database design and normalization
  • Complex query writing
  • Data aggregation and analysis
  • Performance optimization
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Tableau

Leading data visualization tool for creating interactive dashboards

  • Drag-and-drop interface
  • Advanced chart types
  • Interactive filtering
  • Storytelling with data
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Power BI

Microsoft's business analytics service for reports and dashboards

  • Data transformation with Power Query
  • DAX formula language
  • Interactive reporting
  • Collaboration and sharing
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Python Basics

Programming language for data manipulation and analysis

  • Pandas for data manipulation
  • NumPy for numerical computing
  • Matplotlib for basic visualization
  • Data cleaning and preprocessing
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Google Sheets

Cloud-based spreadsheet application for collaboration

  • Collaborative editing
  • Google Apps Script
  • Data import and export
  • Integration with other Google services

Career Path & Opportunities

Explore the various career paths available after completing our Data Analytics course

Junior Data Analyst
Salary: ₹4-7 LPA

Entry-level position focusing on data collection, cleaning, and basic analysis. Responsibilities include creating reports, maintaining dashboards, and supporting senior analysts.

Excel SQL Basic Statistics
Data Analyst
Salary: ₹6-10 LPA

Mid-level role involving complex data analysis, visualization, and insights generation. Works closely with business teams to provide data-driven recommendations.

Tableau Power BI Advanced SQL Statistics
Senior Data Analyst
Salary: ₹10-16 LPA

Advanced role leading analytics projects, mentoring junior analysts, and working with stakeholders to define business metrics and KPIs.

Python Advanced Visualization Project Management Stakeholder Management
Analytics Manager
Salary: ₹15-25 LPA

Leadership role managing analytics teams, setting analytics strategy, and working with executive leadership to drive data-informed decision making across the organization.

Team Management Strategy Business Acumen Advanced Analytics

Real-World Projects

Hands-on projects that simulate real business scenarios and challenges

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Sales Performance Dashboard

Create an interactive dashboard to analyze sales performance across regions, products, and time periods.

  • Connect to multiple data sources
  • Create calculated fields and measures
  • Implement interactive filters and parameters
  • Design mobile-responsive layouts
Tableau Excel SQL
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Customer Segmentation Analysis

Segment customers based on purchasing behavior and demographics to enable targeted marketing.

  • Data cleaning and preprocessing
  • RFM analysis (Recency, Frequency, Monetary)
  • Clustering algorithms implementation
  • Segmentation visualization and profiling
Python Power BI Excel
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Financial Performance Reporting

Develop comprehensive financial reports and dashboards for executive decision-making.

  • Financial KPI calculation and tracking
  • Budget vs actual analysis
  • Trend analysis and forecasting
  • Executive summary creation
Power BI Excel SQL
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E-commerce Analytics

Analyze e-commerce data to understand customer behavior, product performance, and sales trends.

  • Customer journey analysis
  • Product recommendation analysis
  • Sales funnel visualization
  • Inventory optimization insights
Google Analytics Tableau SQL
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Healthcare Analytics

Analyze patient data to identify trends, optimize operations, and improve healthcare outcomes.

  • Patient readmission analysis
  • Treatment effectiveness evaluation
  • Resource utilization optimization
  • Compliance and reporting
Power BI Excel Python
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Marketing Campaign Analysis

Evaluate marketing campaign performance across channels and optimize marketing spend.

  • Multi-channel attribution modeling
  • ROI calculation by campaign
  • Customer acquisition cost analysis
  • Campaign optimization recommendations
Google Analytics Tableau Excel

Student Success Stories

Hear from our alumni who have transformed their careers with our Data Analytics course

"The Data Analytics course at Uncodemy completely changed my career trajectory. I came from a non-technical background, but the structured curriculum and hands-on projects helped me land a job as a Data Analyst at Deloitte with a 150% salary hike. The instructors were incredibly supportive throughout the journey."
P

Priya Sharma

Data Analyst at Deloitte
"As a commerce graduate, I was unsure about breaking into the tech industry. Uncodemy's Data Analytics course provided the perfect bridge. The practical approach, especially the real-world projects, gave me the confidence to apply for analytics roles. I'm now working as a Business Analyst at Amazon, something I never thought possible."
R

Rahul Verma

Business Analyst at Amazon
"The placement assistance at Uncodemy is exceptional. Not only did I learn valuable skills in Tableau, Power BI, and SQL, but the placement team also helped me prepare for interviews and connected me with top companies. I received multiple job offers and joined TCS as a Senior Data Analyst with a package that exceeded my expectations."
A

Anjali Singh

Senior Data Analyst at TCS

Our Students Work At

Top companies that hire our Data Analytics graduates

Upcoming Batch Schedule

Choose a batch that fits your schedule. Limited seats available!

Weekday Morning
Duration: 4 Months
  • Days: Monday - Friday
  • Timings: 9:00 AM - 12:00 PM
  • Start Date: 15th January 2024
  • Seats Available: 12
  • Mode: Online & Offline
₹45,000 ₹60,000
Enroll Now
Weekday Evening
Duration: 4 Months
  • Days: Monday - Friday
  • Timings: 6:00 PM - 9:00 PM
  • Start Date: 20th January 2024
  • Seats Available: 8
  • Mode: Online & Offline
₹45,000 ₹60,000
Enroll Now
Weekend
Duration: 6 Months
  • Days: Saturday & Sunday
  • Timings: 10:00 AM - 4:00 PM
  • Start Date: 27th January 2024
  • Seats Available: 15
  • Mode: Online & Offline
₹48,000 ₹65,000
Enroll Now

Frequently Asked Questions

Get answers to common questions about our Data Analytics course

Do I need any prior experience in programming or analytics? ⬇️

No prior experience in programming or analytics is required. Our course starts with the fundamentals and gradually progresses to advanced topics. We have designed the curriculum to be accessible to complete beginners while being comprehensive enough for those with some background. The only prerequisite is basic computer literacy and a willingness to learn.

What is the duration of the course? ⬇️

The Data Analytics course duration varies based on the batch schedule:

  • Weekday batches: 4 months
  • Weekend batches: 6 months
  • Fast-track batches: 3 months (intensive)

Each batch includes 200+ hours of instructor-led training, hands-on projects, and placement preparation.

What kind of certificate will I receive after completion? ⬇️

Upon successful completion of the course, you will receive a Data Analytics Professional Certificate from Uncodemy. This certificate is:

  • Industry-recognized and verifiable online
  • Awarded based on performance in assignments, projects, and final assessment
  • Includes details of skills and tools covered during the course
  • Can be shared on LinkedIn and included in your resume
What kind of placement assistance do you provide? ⬇️

We provide comprehensive placement assistance including:

  • Resume building and optimization for analytics roles
  • Mock interviews with industry experts
  • Profile preparation and portfolio development
  • Direct referrals to our 180+ hiring partners
  • Job placement support until you get placed
  • Career guidance and mentorship

Our placement team works closely with each student to ensure they are well-prepared for interviews and land suitable roles in top companies.

Can I pay the course fee in installments? ⬇️

Yes, we offer flexible payment options to make the course accessible:

  • One-time payment with discount
  • EMI options through credit cards
  • Installment plans (3-6 months) without extra charges
  • No-cost EMI available for selected banks

Please contact our counseling team for detailed information about payment plans and to choose the option that works best for you.

What if I miss some classes? Will I get recordings? ⬇️

We understand that students might miss classes due to various reasons. Here's how we support you:

  • All live classes are recorded and available in your student portal
  • You can access recordings 24/7 for revision
  • Doubt-clearing sessions with instructors
  • Option to attend the missed topic in another batch (subject to availability)
  • Personalized support from teaching assistants

Our goal is to ensure you don't miss out on any learning, even if you can't attend a particular session.

Start Your Data Analytics Journey Today!

Don't wait to transform your career. Join India's best Data Analytics training program and become industry-ready in just 4-6 months.

Enroll Now Book Free Demo
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100% Placement Assistance
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8+ Real-World Projects
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Industry Certification