Best Data Analytics Course With 100% Placement Support | Updated 2025

Data Analytics Course for All Graduates, NON-IT, Diploma & Career Gaps — ₹18,500/- only.

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Data Analytics Course

  • Join Our Best Data Analytics Training Institute to Master Data Handling and Visualization.
  • Complete Data Analytics Training – Covers Excel, SQL, Python, Power BI and Tableau.
  • Engage in Real-time Projects and Acquire Useful Skills With Hands-on Learning Experiences.
  • Choose Flexible Learning Modes Weekday, Weekend or Fast-track Tailored to Your Schedule.
  • Advance Your Skills with a Data Analytics Certification Course and Placement Support.
  • Get Guidance for Resume Building, Interview Prep and Career Advancement Strategies.

WANT IT JOB

Become a Data Analyst in 3 Months

Freshers Salary

3 LPA

To

8 LPA

Quality Training With Affordable Fees!
INR ₹32000
INR ₹18500

11943+

(Placed)
Freshers To IT

6489+

(Placed)
NON-IT To IT

8976+

(Placed)
Career Gap

4789+

(Placed)
Less Then 60%

We Offer Both Online and Classroom Training in Chennai & Bangalore.

Our Hiring Partners

Overview of Data Analytics Course

Our Data Analytics Course With Placement is designed to help you build a solid foundation in data analysis using industry-standard tools like Excel, SQL, Python, Power BI, and Tableau. Gain practical experience through hands-on projects from data collection to insight generation and earn a recognized Data Analytics Certification to kick-start your career in data. In the end of the course you will be able to apply for Data Analytics Internship and jobs.

What You’ll Learn From Data Analytics Training

  • This course is ideal for beginners and professionals looking to build or upgrade their data skill set from the ground up.
  • You’ll explore core topics like Excel for spreadsheets, SQL for database queries and Python for programming and data analysis.
  • Visualization tools like Power BI and Tableau will help you turn data into meaningful dashboards and reports.
  • The course includes real-time projects that simulate workplace scenarios, helping you apply theory in practical ways.
  • You’ll gain the confidence to handle data independently and understand industry best practices in analytics.
  • Upon completion, you’ll be ready for data analyst, business analyst, or BI roles and receive a certification that strengthens your resume.

Additional Info

Course Highlights

  • Master Excel, SQL, Python, Power BI and Tableau in one complete Data Analytics Course.
  • Receive dedicated job placement support from top hiring companies.
  • Join 11,000+ students placed through our 350+ hiring partners.
  • Learn from industry experts with over 10 years of hands-on experience.
  • Access simple lessons, real-world projects and continuous career support.
  • Enjoy affordable fees, 100% job support and flexible class schedules.
  • Build job-ready skills with real-time projects and practical training.

Exploring the Benefits of Data Analytics Course

  • Smarter Decision-Making – An data analytics Certification Course empowers you to interpret data effectively, enabling strategic business moves. It trains you to identify trends and extract meaningful insights from real-time datasets. This minimizes guesswork and enhances precision in planning. With data backed analysis, business outcomes become more impactful.
  • Lucrative Career Prospects – Data analytics is a high-demand field across industries like banking, healthcare, retail and IT. Training opens doors to roles such as business analyst, data analyst or junior data scientist. These positions offer strong salary potential and career progression. Gaining analytical skills enhances your employability in today's digital economy.
  • Enhanced Organizational Productivity – Studying Data Analytics Training in Chennai and Bangalore equips learners to contribute to better processes and improved service quality. It enables the identification of inefficiencies and supports solution-building through data. With optimized operations, businesses increase productivity and profit. Employers value data-savvy professionals who drive growth through analytics.
  • Develops Analytical and Critical Thinking – Through structured modules, the course boosts logical reasoning and complex problem-solving skills. It encourages learners to approach challenges using a fact-based, analytical mindset. These skills are useful in daily life as well as professional settings. Over time, it cultivates greater confidence and decision-making capabilities.

Key Tools Covered in Data Analytics Training

  • Excel for Data Preparation – Microsoft Excel remains a vital starting point for analytics learners. It helps with organizing, filtering and performing basic calculations on data. With features like pivot tables and charts, Excel makes data exploration intuitive. Mastering it builds a solid base for advanced analytics tools.
  • SQL for Managing Databases – SQL (Structured Query Language) is crucial for retrieving and organizing data from databases. It allows you to filter, join and summarize data efficiently. SQL skills are essential for handling large-scale structured data in projects. It is a foundational tool used across data roles.
  • Python for Analysis and Automation – Python’s versatility makes it a preferred programming language in analytics. You will explore libraries like Pandas for data manipulation, Matplotlib for visuals and NumPy for numerical tasks. Python also supports automation, saving time on repetitive processes. It's a must-have skill for anyone working with analytics.
  • Tableau for Interactive Visuals – Tableau is an intuitive visualization platform used to convert raw data into clear visuals. It helps reveal hidden trends through interactive dashboards. Its simple drag-and-drop interface requires no coding experience. Learning Tableau enhances your ability to present insights effectively.

Must-Know Frameworks in the Data Analytics Ecosystem

  • Apache Hadoop – Hadoop is an open-source platform built for managing and processing big data across distributed systems. It uses HDFS for storage and MapReduce for parallel data processing. Hadoop is key to building scalable data solutions. It works well with tools like Hive and Pig for analysis.
  • Apache Spark – Spark is an advanced analytics engine known for real-time and in-memory data processing. It supports Python, Scala and Java, making it versatile for developers. Spark outperforms traditional tools like Hadoop in iterative computations. It’s heavily used for machine learning and large-scale data analysis.
  • Tableau – This visualization framework enables analysts to transform complex data into actionable reports and dashboards. It connects to multiple data sources and simplifies visual storytelling. Tableau enhances collaboration across teams through easy-to-share dashboards. It’s widely adopted for business intelligence reporting.
  • Power BI – Microsoft's cloud-based business intelligence solution is called Power BI, for data visualization and reporting. It connects with Excel, SQL and cloud services for real-time analysis. You can build interactive dashboards and share insights across departments. Power BI is great for data professionals seeking enterprise-level reporting tools.

Key Skills Gained Through Data Analytics Training

  • Statistical Thinking and Data Analysis – The course teaches how to evaluate data patterns and apply statistical methods for insight. You’ll learn to interpret correlations, distributions and trends. This enables data-informed decision-making in various industries. For positions requiring precise analysis abilities are crucial.
  • Mastery of Excel, SQL and Python – You’ll gain hands-on practice using Excel for data handling, SQL for querying data and Python for analysis and automation. These tools are the backbone of the analytics workflow. Together enable deep data exploration and reporting. The course ensures you're proficient in all three.
  • Data Visualization with Power BI & Tableau – You'll learn to design compelling dashboards that turn numbers into stories. Power BI and Tableau help simplify complex information into digestible visuals. These tools support decision-making through clarity. Your ability to visualize data will set you apart in job interviews and projects.
  • Solving Problems with Real-World Projects – Live case studies and projects allow you to apply your knowledge to realistic challenges. You’ll clean and interpret data to derive solutions for simulated business cases. This improves practical problem-solving and critical thinking. You’ll finish the course with a portfolio to impress employers.

Roles and Responsibilities Taught in Data Analytics Training

  • Analytics Instructor – Instructors are responsible for delivering engaging lessons on analytics tools like SQL, Python, Power BI and Excel. They provide real-time guidance, assign projects and simplify difficult concepts. Their focus is to make students job-ready. They also assist with career preparation and certifications.
  • Data Engineering Specialist – Data Engineers design pipelines that transport and transform raw data into usable formats. They maintain data architecture and ensure smooth data flow to analytics teams. This role involves strong knowledge of databases and cloud systems. It is key to supporting large scale data operations.
  • Machine Learning Engineer – These professionals build predictive models that forecast outcomes based on historical data. They apply ML algorithms to large datasets and tune them for optimal performance. The role involves working with Python and machine learning libraries. It combines technical skills with statistical knowledge.
  • Data Visualization Developer – Visualization experts focus on crafting user-friendly dashboards and visual reports. It use Power BI and Tableau to display patterns clearly for business teams. Their insights of organizations make informed choices. This role blends creativity with technical data skills.

Why Fresh Graduates Should Choose Data Analytics

  • Demand in Every Industry – Every sector now relies on data from retail to logistics to finance. Entry level roles are open to graduates who understand data handling and visualization. The course you gain those competencies. It’s a solid start for a long-term career.
  • Easy to Start for Beginners – With interactive content, the course is beginner-friendly. Tools like Excel and Power BI are simple to pick up with guided learning. You don’t need prior programming knowledge. Even non-tech backgrounds can thrive in analytics.
  • Great Entry-Level Salaries – Analytics professionals are well-compensated, even in junior roles. As you gain hands-on experience your earning potential increases. Courses offer fast track options to skill development. This makes it one of the most rewarding fields for freshers.
  • Flexible Growth Options – You can branch into various fields like AI, machine learning, or business intelligence. Learning allows you to upskill at your own pace. The dynamic nature of the domain keeps things exciting. You’ll never run out of areas to explore.

How Data Analytics Skills Open Remote Job Opportunities

  • Self-Reliant Work Habits – Analytics encourages critical thinking and independent work. In remote jobs, these are valuable traits. You can work with data, generate insights and contribute without supervision. This builds trust and reliability with employers.
  • Ideal for Flexible Schedules – Many analytics tasks need real time collaboration. You can complete projects asynchronously and deliver reports on time. This makes remote work manageable and less stressful. It is ideal for those looking for work life balance.
  • Attractive to Global Companies – Analytics is a globally appreciated skill making your resume more marketable. Whether working for local startups or overseas firms your expertise remains relevant. With remote access, you can tap into international job markets. This increases your chances of working with cross-border teams.
  • Lifelong Upskilling – Remote work favors professionals keep learning. Analytics tools and technologies evolve fast. Through webinars, E-learning and certifications, you can stay current. This makes you competitive and capable of handling evolving job roles.

What to Expect in Your First Data Analytics Job

  • Dealing with Raw, Unstructured Data – Unlike textbook examples, real-world data is often inconsistent and incomplete. You'll learn to clean, validate and structure it for analysis. This stage forms the foundation for reliable outcomes. It’s a core part of every analyst’s workflow.
  • Becoming Tool-Proficient – You’ll work hands-on with tools like SQL, Excel, Python and visualization platforms. Building reports, writing scripts and crafting dashboards becomes part of your routine. Your tool proficiency will increase with real-time projects. You’ll grow more confident with each assignment.
  • Understanding Business Objectives – Your role will include translating business queries into data tasks. Whether for marketing campaigns or inventory control, your insights must solve real problems. You’ll collaborate with cross-functional teams. Strong communication and domain understanding are essential.
  • Communicating Data Clearly – Presenting your findings through reports and visuals is vital. You’ll often explain your insights to non-technical managers. Storytelling through dashboards and visuals improves comprehension. The ability to simplify insights enhances your impact.

Leading Companies Hiring Data Analytics Professionals

  • Accenture – Accenture leverages big data and AI to deliver consulting solutions across industries. They hire analytics professionals to solve real-time client problems. You’ll get the opportunity to work on global projects and diverse data stacks. Accenture supports employee development and upskilling.
  • Infosys – Infosys integrates data analytics into business transformation services. They value employees skilled in Python, Power BI and R. As a fresher, you’ll benefit from their structured mentorship and internal training paths. Infosys fosters a culture of continuous learning.
  • IBM – IBM is a leader in cloud and AI solutions, hiring analysts to enhance business performance. You’ll work with advanced tools to optimize operations and user experience. The environment promotes innovation through collaboration. IBM suits those passionate about analytics and research.
  • Capgemini – Capgemini uses analytics to offer digital transformation solutions to clients across domains. You’ll work on live projects involving visualization and predictive modeling. The company provides international exposure and growth opportunities. Their data teams focus on efficiency, accuracy and innovation.
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Tools Covered For Data Analytics Training

Apache-Spark power-bi Tableau Data-Studio Excel SQL R-Programming python

Job-Guaranteed Course with Add-on Benefits

Data Analytics
Learn Data Analytics with Python, Cloud, and Excel to build scalable, real-world solutions.

5.0 (7895)

Placement-focused training in Aptitude and Spoken English for career success.

4.8 (7115)

Access LMS, AI-powered interview practice, and placement portal for complete career support.

4.9 (7321)

INR ₹18500
INR ₹32000

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What’s included ?

Convenient learning format

📊 Free Aptitude and Technical Skills Training

  • Learn basic maths and logical thinking to solve problems easily.
  • Understand simple coding and technical concepts step by step.
  • Get ready for exams and interviews with regular practice.
Dedicated career services

🛠️ Hands-On Projects

  • Work on real-time projects to apply what you learn.
  • Build mini apps and tools daily to enhance your coding skills.
  • Gain practical experience just like in real jobs.
Learn from the best

🧠 AI Powered Self Interview Practice Portal

  • Practice interview questions with instant AI feedback.
  • Improve your answers by speaking and reviewing them.
  • Build confidence with real-time mock interview sessions.
Learn from the best

🎯 Interview Preparation For Freshers

  • Practice company-based interview questions.
  • Take online assessment tests to crack interviews
  • Practice confidently with real-world interview and project-based questions.
Learn from the best

🧪 LMS Online Learning Platform

  • Explore expert trainer videos and documents to boost your learning.
  • Study anytime with on-demand videos and detailed documents.
  • Quickly find topics with organized learning materials.

Data Analytics Course Syllabus

  • 🏫 Classroom Training
  • 💻 Online Training
  • 🚫 No Pre Request (Any Vertical)
  • 🏭 Industrial Expert

Learners enrolling in the Data Analytics Certification Course can alter their course of study according to their interests and career goals, enhancing their chances of getting placed in top companies. This flexible approach allows students to specialize in areas like data visualization, machine learning, or statistical analysis, while building a strong foundation in core analytics concepts and tools. We provide 100% Data Analytics Placement support after the course completion.

  • Data Analytics with Python – Focuses on Python programming with libraries like Pandas, NumPy and Matplotlib for effective data manipulation and visualization.
  • Data Analytics with R – Covers R programming for statistical computing, data analysis, and graphical representation in various domains.
  • Business Analytics Track – Emphasizes tools like Excel, Power BI, and SQL to extract business insights and support decision-making.
  • Machine Learning Track – Includes hands-on training in algorithms, data modeling, and predictive analytics using Python and scikit-learn.
Fundamentals of Data Analytics
Excel for Data Analysis
SQL for Data Querying
Python for Data Analytics
Data Visualization Tools
Basics of Machine Learning
Statistics for Data Analytics

These form the foundation of understanding data and analytics:

  • Types of Data – Structured, semi-structured, and unstructured data.
  • Analytics Types – Descriptive, diagnostic, predictive, prescriptive.
  • Data Lifecycle – Collection, cleaning, analysis, visualization, interpretation.
  • Roles in Analytics – Data analyst, business analyst, data scientist.

These are used for basic data manipulation and visualization:

  • Formulas & Functions – SUM, IF, VLOOKUP, INDEX and MATCH.
  • Data Cleaning Tools – Remove duplicates, text-to-columns, data validation.
  • Pivot Tables – Summarize and explore large datasets
  • Charts – Column, bar, line, pie, combo charts for visualization

These are used to interact with relational databases:

  • SELECT Queries – Retrieve specific data from tables.
  • JOINs – Combine data from multiple tables (INNER, LEFT, RIGHT)
  • GROUP BY & Aggregations – SUM, AVG, COUNT for grouped data
  • Subqueries & Aliasing – Use queries within queries and rename columns.

These libraries are used for programming and data operations:

  • NumPy – Numerical computations and array handling
  • Pandas – Dataframes for reading, transforming, and analyzing data
  • Matplotlib– Basic charting and visualizations
  • Seaborn– Statistical data visualizations with styling options

These are used to create dashboards and interactive reports:

  • Power BI – Microsoft’s business intelligence tool.
  • Tableau – Visual analytics platform for building dashboards.
  • Filters & Slicers – Interactive controls for data exploration.
  • Calculated Fields – Custom formulas within visuals

These are used to apply predictive analytics and modeling:

  • Scikit-learn- Python library for machine learning.
  • Supervised Learning- Regression, classification (e.g., linear regression, decision trees).
  • Unsupervised Learning- Clustering techniques like K-Means.
  • Model Evaluation- Accuracy, confusion matrix, cross-validation.

These concepts help understand patterns and support decision-making:

  • Descriptive Statistics- Mean, median, mode, range, standard deviation
  • Probability- Basic probability, distributions, conditional probability.
  • Inferential Statistics- Hypothesis testing, confidence intervals, t-tests.
  • Environment Configuration- Set up ports, secrets and variables in hosting platforms.
  • Correlation and Regression- Relationships and prediction between variables.

🎁 Free Addon Programs

Aptitude, Spoken English

🎯 Our Placement Activities

Daily Task, Soft Skills, Projects, Group Discussions, Resume Preparation, Mock Interview

Get Real-Time Experience in Data Analytics Projects

Project 1
Web Scraping

Build a movie review aggregator that scrapes titles, ratings, genres, and user reviews from IMDb or Rotten Tomatoes, organizing the data for further analysis.

Project 2
Data Cleaning

Clean a messy retail transaction dataset by handling missing values, duplicates, inconsistent date formats, and standardizing fields like city names and currency types.

Project 3
Exploratory Data Analysis

Perform EDA on an HR dataset to uncover patterns in employee attrition based on factors like job role, salary, work-life balance, and years at the company.

Project 4
Sentiment Analysis

Analyze Amazon product reviews by cleaning the text and classifying sentiments (positive, negative, neutral) to understand customer opinions about product features.

Project 5
Data Visualization

Create an interactive bank loan dashboard using Tableau or Power BI to visualize loan approvals, customer demographics, and default rates with dynamic filters.

Who Should Take a Data Analytics Training

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Working Professionals

Diploma Holders

Professionals from Other Fields

Salary Hike

Graduates with Less Than 60%

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Job Roles For Data Analytics Course

Data Analyst

Business Analyst

Data Scientist

Analytics Consultant

BI Developer

Data Engineer

Statistician Analyst

Risk Analyst

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Data Analytics Training Offered Classroom (Chennai & Bangalore) and Online.

Easy Coding
8 Lakhs+ CTC
No Work Pressure
WFH Jobs (Remote)

Career Support

Placement Assistance

Exclusive access to ACTE Job portal

Mock Interview Preparation

1 on 1 Career Mentoring Sessions

Career Oriented Sessions

Resume & LinkedIn Profile Building

Get Advanced Data Analytics Certification

You'll receive a certificate proving your industry readiness.Just complete your projects and pass the pre-placement assessment.This certification validates your skills and prepares you for real-world roles.

📜 Industry-Recognized Certification

Earn official, shareable certifications recognized by top companies — a powerful proof of your job-ready skills.

🚀 Get Discovered by Top Employers

Let recruiters come to you with your verified profile — focus on learning while we connect you to real opportunities.

💼 Real-World Project Experience

Work on real-world projects to sharpen your skills and build a portfolio that impresses employers instantly.

Get Certified

Lowest Data Analytics Course Fees

Affordable, Quality Training for Freshers to Launch IT Careers & Land Top Placements.

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Data Analytics Course FAQs

1. What Are the Prerequisites to Become a Data Analyst?

A fundamental comprehension of mathematics and logical reasoning, Familiarity with Excel and databases (SQL), A willingness to learn programming (like Python or R), A degree can help, but it’s not mandatory skills matter more.
Yes, upon successfully completing the training and demonstrating your newly gained skills, you will receive a Certificate of Completion. To increase your professional visibility, you might include it on your LinkedIn profile and CV.

The training covers backend and frontend technologies, such as:

  • Microsoft Excel (Formulas, PivotTables, Dashboards)
  • SQL (PostgreSQL, MySQL)
  • Python or R (Pandas, NumPy, data wrangling, visualization)
  • Power BI and Tableau for data visualization
  • Statistical analysis techniques
  • Introductory Big Data and Cloud tools (optional in advanced modules)

Absolutely. Our course includes real-time, hands-on projects to simulate business problems. You'll work on projects like:

  • Sales performance analysis
  • Customer churn prediction
  • KPI dashboard creation
  • Marketing campaign effectiveness
  • These are great additions to your portfolio and showcase your skills to employers.
Yes, we offer comprehensive career services, including the Resume writing and LinkedIn optimization, Mock interviews and HR interview prep, Portfolio review and project showcasing tips, Job referrals and recruiter connections
Anyone with a passion for data and problem-solving can join. This includes Fresh graduates from any stream, Working professionals switching careers, Business managers seeking data-driven decision-making skills.
A degree in a related field can help, but it is not essential. Many data analysts have transitioned successfully from non-technical or non-degree backgrounds with the right skills and projects.
You’ll benefit from the Comfort with numbers and logical thinking, Basic computer and spreadsheet skills, An eagerness to explore data and uncover insights, No prior programming experience is needed but being open to learning it will help.
No. Data Analytics is not the same as web development. You don’t need frontend or backend knowledge to join or succeed in this training. Our focus is on data analysis, reporting, visualization and insights.

1. What Data Analytics Placement Support Will I Receive After Training?

We provide end-to-end placement assistance, including Professional resume and portfolio creation,Technical and HR mock interviews, Interview scheduling and job referrals, Access to job boards and hiring partner networks.

2. Will I Work on Projects That I Can Add to My Resume?

Yes. All students will work on multiple real-world data projects that can be added to your GitHub, portfolio, or resume to demonstrate your capabilities to potential employers.

3. Can I Apply for Jobs in Top IT Companies After This Course?

Definitely. Once you’ve built your skillset and portfolio, you’ll be well-positioned to apply for data roles at top IT firms. Our placement team will also help connect you with relevant job opportunities.

4. Is Placement Support Available for Freshers Without Experience?

Yes. We provide dedicated guidance for freshers, including entry-level job referrals, fresher-specific interview coaching and building a compelling data analyst resume even with no prior job experience.
  • Google Data Analytics Professional Certificate
  • Microsoft Certified: Data Analyst Associate (Power BI)
  • IBM Data Analyst Professional Certificate
  • SAS Certified Advanced Analytics Professional
  • Tableau Desktop Specialist Certification
  • Certified Analytics Professional (CAP)
  • Cloudera Certified Associate (Data Analyst)
While earning a recognized credential significantly increases your chances. It shows employers that you are committed, technically proficient and ready for the challenges of a data analytics role. However, real-world experience, analytical thinking and communication skills are equally important in securing a job.
Depending on your schedule and prior experience, most learners complete certification programs in 3 to 6 months. Full-time learners may finish sooner, while part-timers may take longer. Your familiarity with tools like Excel, SQL and Python also plays a role in how quickly you progress.
  • Gain industry recognition and career credibility
  • Showcase proficiency in key analytics tools and platforms
  • Unlock higher salary opportunities
  • Boost your confidence with real-world data challenges
  • Follow a structured, guided learning path with hands-on practice
  • Enroll in a structured course or training program
  • Practice regularly with real-world data sets
  • Master tools like Excel, SQL, Python, Power BI and Tableau
  • Take mock exams and review practice questions
  • Join peer study groups or communities
  • Focus on conceptual clarity rather than rote memorization

1. Is Job Placement Support Included in the Course Fee?

Most reputable training programs including ours include job placement assistance as part of the course fee. There are no hidden charges for mock interviews, career counseling, or certification guidance.
Trainer experience, Depth of course content, Inclusion of certifications, Access to projects, tools and labs, Brand reputation and placement outcomes.
Yes, we strive to keep our course beginner-friendly in both content and pricing. We also offers Flexible EMI options, Discounted early bird offers, Referral-based incentives.
Yes, we apply the same fee everywhere. The cost and level of our training are the same whether you live in a large city or a small village.

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Data Analytics Course for All Graduates, NON-IT, Diploma & Career Gaps — ₹18,500/- only.

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