Top Data Analytics Course Training in Rajaji Nagar | Updated 2025
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Data Analytics Course Training in Rajaji Nagar

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Rated #1 Recognized as the No.1 Institute for Data Analytics Course Training in Rajaji Nagar

As Rajaji Nagar’s Premier Destination for Data Analytics Education, We Offer Comprehensive Programs Tailored to Meet Current Industry Demands.

Our Data Analytics Course in Rajaji Nagar Emphasizes Applied Learning, From Data Exploration to Decision-Making Frameworks. Enroll Now in Our Leading Data Analytics Course With Placement Assistance for Impactful Learning and a Rewarding Career Path.

  • Structured Learning from Foundation to Mastery.
  • 12,000+ Success Stories | 350+ Placement Partners.
  • Master Interview Skills with Real Company Questions.
  • Unlimited Student Portal Access with Lifetime Validity.
  • Project-Based Data Analytics Course Training in Rajaji Nagar.
  • Hurry! Next Batch Starts This Week – Join Now & Secure Your Spot!

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Fee INR 18000

INR 14000

Training

Enroll Now View Syllabus

  • Case Studies and Projects 8+

  • Hours of Training 45+

  • Placement Assurance 100%

  • Expert Support 24/7

  • Support & Access Lifetime

  • Certification Yes

  • Skill Level All

  • Language All

Utilize Our Data Analytics Course to Advance Your Career

  • Our Data Analytics Course Training in Rajaji Nagar transforms data enthusiasts into skilled professionals. You’ll learn to convert raw data into strategic business solutions that drive impactful decisions.
  • Participants will be trained in key areas such as data extraction and storytelling with dashboards. You’ll master trend forecasting, metrics development, and performance evaluation techniques.
  • We offer flexible Data Analytics Course modes, live instructor sessions, offline weekend classes, and self-paced online content.
  • Sessions are led by experienced analytics practitioners skilled in SQL, Power BI, Excel, Tableau, and Python. This approach bridges theory and practice effectively.
  • Certification upon program completion boosts your profile for roles like Insight Analyst, Junior Data Scientist, or BI Reporting Analyst.
  • Learners receive full career support, including mock assessments, resume workshops, and recruiter networking opportunities. Our dedicated team helps prepare you to successfully enter the job market.
  • Graduates leave with a strong analytical mindset and proficiency in essential tools. You’ll be ready to make meaningful data-driven contributions across diverse business sectors.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

Talk to us

we are happy to help you 24/7

+91-7669 100 251
Other Categories Placements
  • Non-IT to IT (Career Transition) 2371+
  • Diploma Candidates3001+
  • Non-Engineering Students (Arts & Science)3419+
  • Engineering Students3571+
  • CTC Greater than 5 LPA4542+
  • Academic Percentage Less than 60%5583+
  • Career Break / Gap Students2588+
Top Placement Record

Upcoming Batches

14-July-2025
Weekdays

Weekdays Regular

08:00 AM & 10:00 AM

(Class 1Hr - 1:30Hrs) / Per Session

16-July-2025
Weekdays

Weekdays Regular

08:00 AM & 10:00 AM

(Class 1Hr - 1:30Hrs) / Per Session

19-July-2025
Weekends

Weekend Regular

(10:00 AM - 01:30 PM)

(Class 3hr - 3:30Hrs) / Per Session

20-July-2025
Weekends

Weekend Fasttrack

(09:00 AM - 02:00 PM)

(Class 4:30Hr - 5:00Hrs) / Per Session

    Hear it from our Graduate

    Tools Covered In Data Analytics Course in Rajaji Nagar

    Course Objectives

    Joining a Data Analytics course empowers you to decode complex data, make informed decisions, and support organizational growth. It opens doors to a high-demand career path where data-driven skills are critical. The program equips you with both technical know-how and analytical thinking, which are valuable across multiple industries.
    • A basic understanding of mathematics and statistics is helpful but not mandatory.
    • Comfort using computers and common software is expected.
    • Knowledge of Excel or similar tools adds an advantage.
    • No coding experience is needed for entry-level programs.
    • A keen interest in data and logical reasoning is essential.
    Data Analytics courses combine theory with practice through lectures, projects, and real-time problem-solving. You'll work on datasets using tools like SQL, Python, and Excel. Collaborative sessions, quizzes, and case studies deepen your understanding and enhance practical skills.
    • Cleaning and transforming data using real-world examples.
    • Running data analysis through tools like SQL and Python.
    • Creating data dashboards in Tableau or Power BI.
    • Solving case studies that mimic real business challenges.
    • Data sourcing, cleaning, and transformation techniques.
    • Exploratory data analysis and visualization principles.
    • Statistical foundations and their application in analytics.
    • Basics of programming in SQL and Python or R.
    • Data storytelling, reporting, and presentation techniques.
    Success in this course requires analytical thinking, attention to detail, and a problem-solving mindset. Familiarity with basic stats and proficiency in tools like Excel or Python is beneficial. Communication skills are important for conveying insights. Being curious and open to learning enhances your progress.
    Yes, this course is ideal for beginners. It starts with foundational concepts and gradually introduces advanced techniques. With a structured approach, hands-on projects, and real-time support, learners without prior experience can comfortably build up their skills and confidence.

    Which Tools and Technologies Will You Learn?

    • Excel or Google Sheets for spreadsheets
    • SQL for database querying and data handling
    • Python or R for scripting and analysis
    • Tableau, Power BI, or matplotlib for visualization
    • Advanced tools and cloud platforms in extended modules

    Is There Demand for Data Analysts in the Market?

    Absolutely! Data Analysts are in high demand across industries like finance, healthcare, e-commerce, and tech. As companies increasingly rely on data to make smarter decisions, the need for skilled professionals continues to grow making it a stable and rewarding career choice.

    What’s the Career Outlook for Data Analytics Professionals?

    • Strong job growth in sectors like banking, retail, and tech
    • Expanding roles due to increased focus on data strategies
    • Career options include Data Analyst, BI Analyst, Data Scientist
    • Competitive salaries and clear pathways for advancement
    • Continuous learning keeps professionals ahead in the field

    Is It Easy for Beginners to Learn Data Analytics?

    Yes, Data Analytics can be mastered by beginners with the right support. Most courses break down complex topics into easy-to-follow lessons. Regular practice, a logical mindset, and guided projects help learners build solid foundations and apply their knowledge confidently.
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    Overview Of Data Analytics Course in Rajaji Nagar

    Data Analytics is like turning numbers into stories. Every business or app collects tons of data like what you search for, what you buy, and how long you stay on a page. But raw data doesn’t make much sense until it's cleaned up, sorted, and analyzed. That’s where Data Analytics Training comes in! It helps people and companies understand what’s going on, what worked, and what they can improve. For example, a company might find out which product is selling the most and when. There are different kinds of analytics too some look at past trends, others guess future trends, and some even suggest what actions to take next. To do all this, tools like Excel, Tableau, SQL, and Python are super helpful. You don’t need to be a genius to start learning them either. With a little practice, anyone can start understanding data. People use data analytics in all kinds of jobs: marketing teams use it to see what ads work best, doctors use it to track patient recovery, and banks use it to spot fraud. It’s a skill that’s becoming more important every year. If you’re curious, love solving puzzles, or just want to make smarter decisions, data analytics is a great path. It’s not just for tech people, it's for everyone.

     

    Additional Info

    Data Analytics Experts' Roles and Responsibilities

    • Data Gathering: Acquire data from various platforms such as databases, APIs, cloud systems, and flat files to support analytical objectives.
    • Data Cleaning & Preparation: Refine raw datasets by correcting inconsistencies, validating values, and formatting data for accurate analysis.
    • Statistical Analysis: Use statistical methods and exploratory techniques to uncover patterns, correlations, and meaningful insights from complex data sets.
    • Data Visualization: Develop interactive visualizations and dashboards using tools like Tableau, Power BI, Excel, or Python libraries to present insights effectively.
    • Reporting & Communication: Deliver analytical findings through structured reports and presentations that support business decision-making.
    • Requirement Mapping: Collaborate with stakeholders to gather business requirements and convert them into targeted analytical tasks.
    • Predictive Analytics: Design and deploy forecasting models that predict trends, customer behavior, and future outcomes to inform strategy.
    • Performance Monitoring: Define, monitor, and analyze key performance indicators (KPIs) to measure organizational success and guide improvement.
    • Technical Proficiency: Work with essential tools such as SQL, Python, R, Excel, and cloud technologies like AWS, Azure, or Google Cloud.

    Commonly Used Data Analytics Tools

    • Python: Widely used for data analysis, machine learning, and data visualization. Flexible and powerful, it supports automation and advanced analytics.
    • R: Preferred in academic and research settings for statistical analysis. Excellent for creating detailed data visualizations and reports.
    • SQL: Essential for querying and managing data in relational databases. It allows you to extract, filter, and manipulate large datasets efficiently.
    • Microsoft Access: Ideal for small-scale database management and reporting. A user-friendly option for building custom data solutions quickly.
    • Tableau: Known for interactive, visually appealing dashboards and reports. Great for turning complex data into easy-to-understand visuals.
    • Power BI: Microsoft's business intelligence tool for data visualization. Integrates seamlessly with Excel and other Microsoft products.
    • Looker: A modern data exploration tool from Google Cloud. Used for real-time data visualization and business insights.
    • Alteryx: Offers a drag-and-drop interface for data blending and prep. Supports advanced analytics without requiring heavy coding.

    Future of Data Analytics Course in Rajaji Nagar

    • Rising Industry Demand: Organizations across sectors such as finance, healthcare, retail, e-commerce, and tech are increasingly relying on data analytics to drive informed decision-making and gain a competitive edge.
    • Diverse Career Opportunities: Skilled professionals in data analytics can pursue various roles like Data Analyst, Data Scientist, Analytics Consultant, and Data Engineer all of which are in high demand globally.
    • Rapid Technological Progress: Innovations in AI, machine learning, big data, and cloud computing are continuously transforming the analytics landscape, expanding the scope and impact of data-driven practices.
    • Boosted Career Prospects: Industry-recognized certifications from Microsoft, Google, IBM not only validate expertise but also increase salary potential and help professionals step into leadership or specialized roles.
    • Ecosystem of Modern Tools: Data analytics spans a wide ecosystem including cloud platforms, data pipelines, and tools like Python, R, SQL, Power BI, and Tableau, making it highly dynamic and versatile.
    • Universal Relevance: The shift toward digital transformation has made analytics an integral part of business operations across virtually every industry, ensuring long-term relevance.
    • Foundation for Advanced Technologies: A solid grounding in data analytics prepares professionals to advance into emerging domains such as predictive analytics, deep learning, NLP, and intelligent automation.

    Benefits of Enrolling in a Course in Data Analytics

    • Master a High-Demand Skillset: Develop expertise in data analytics a field that’s rapidly growing and highly valued across industries.
    • Unlock Career Options: Step into promising roles like Data Analyst, BI Analyst, Data Scientist, or Business Analyst.
    • Drive Data-Backed Decisions: Learn how to interpret data and provide insights that shape smarter business strategies.
    • Get Hands-On with Leading Tools: Build practical skills in popular platforms such as Python, SQL, Tableau, Excel, and Power BI.
    • Enjoy Competitive Salaries: Skilled analytics professionals are often rewarded with higher pay and faster career growth.
    • Work Across Multiple Sectors: Data skills are transferable to finance, healthcare, marketing, IT, e-commerce, and more.
    • Enhance Problem-Solving Abilities: Strengthen your logical thinking and analytical reasoning to solve complex challenges.
    • Gain Industry Credibility: Earn certifications that validate your knowledge and make your profile more attractive to employers.
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    Key Features

    ACTE Bangalore offers Data Analytics Training in more than 27+ branches with expert trainers. Here are the key features,

    • 40 Hours Course Duration
    • 100% Job Oriented Training
    • Industry Expert Faculties
    • Free Demo Class Available
    • Completed 500+ Batches
    • Certification Guidance

    Authorized Partners

    ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS.

    Curriculum

    Syllabus For Data Analytics Course Training in Rajaji Nagar
    Module 1: Fundamentals of Data 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.
    Module 2: Excel for Data Analysis
    • 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
    Module 3: SQL for Data Querying
    • 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.
    Module 4: Python for Data Analytics
    • 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
    Module 5: Data Visualization Tools
    • 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
    Module 6: Basics of Machine Learning
    • 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.
    Module 7: Statistics for Data Analytics
    • 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.
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    Need customized curriculum?

    Get Hands-on Knowledge about Real-Time Data Analytics Projects

    Project 1
    Market Basket Analysis

    Discover product combinations frequently bought together using association rule mining. Analyze transaction data to identify patterns and relationships between products.

    Project 2
    Marketing Campaign Analysis

    Evaluate the performance of marketing channels and optimize ROI using data visualization. Visualize key metrics to compare channel effectiveness and customer engagement.

    Project 3
    Credit Risk Analysis

    Predict the likelihood of loan default using logistic regression or decision trees. These models help assess borrower risk by analyzing historical data and key financial indicators.

    Project 4
    Stock Market Trend Prediction

    Analyze stock data to forecast trends and build basic predictive models. By examining historical price movements and patterns, you can develop models that support investment strategies.

    Our Data Analytics Placement Can Help You Find a Job

    • Our Data Analytics Placement program connects students with top employers in tech, finance, healthcare, e-commerce, and consulting.
    • We prepare you thoroughly with mock interviews, aptitude training, and technical assessments. This ensures you are confident and ready to excel in competitive analytics roles.
    • Through our dedicated student placement portal, you’ll receive job alerts, company updates, and interview schedules.
    • Our experienced Data Analytics Placement team provides personalized support to align your career goals with suitable analytics roles.
    • We’ve partnered with organizations ranging from dynamic startups to global enterprises. This provides access to varied data analytics roles across different sectors and company sizes.
    • Backed by a strong reputation and trusted industry collaborations, our institute commits to your growth. We support your journey to thrive in the expanding data analytics landscape.
    • Our Data Analytics Placement program also includes soft skills development such as communication, teamwork, and problem-solving.

    Get Data Analytics Certification and Elevate Your Career

    Earning a Data Analytics Certification enhances your professional profile and unlocks a range of career opportunities in data-focused roles. This certification validates your skills in data analysis, interpretation, and visualization using industry-standard tools like SQL, Python, Excel, Tableau, and Power BI. It proves your ability to generate actionable insights from raw data, an essential skill in today’s data-driven business world. Whether you're aiming to enter data science, business intelligence, or analytics, this certification gives you a distinct edge in a growing job market.

    • Demonstrates Proficiency
    • Boosts Career Opportunities
    • Strengthens Your Skill Set
    Yes, having a certification greatly enhances your profile by demonstrating your practical expertise and analytical abilities. It gives you an edge in the job market and boosts your chances of landing top data roles.
    Basic knowledge of statistics, Excel, and data interpretation is helpful. Some certifications are designed for beginners, while advanced options may require experience with SQL, Python, or visualization tools. Familiarity with datasets is a bonus.
    • Data Analytics Associate Certification
    • Business Intelligence Certification
    • Professional Data Analyst Certification
    • Advanced Analytics Certification (including AI/ML components)
    • Data Analyst
    • Business Analyst
    • BI Developer
    • Reporting Analyst
    • Market Research Analyst
    • Financial Analyst
    • Product Analyst

    Complete Your Course

    a downloadable Certificate in PDF format, immediately available to you when you complete your Course

    Get Certified

    a physical version of your officially branded and security-marked Certificate.

    Get Certified

    Best Guidance From Our Expert Data Analytics Trainers

    • Our Data Analytics Trainers are seasoned professionals with rich experience working on real-time projects and hold certifications from leading global organizations.
    • They bring practical insights from top companies like Google, Amazon, Deloitte, IBM, and Microsoft, offering learners valuable exposure through real-world case studies and industry-relevant examples.
    • Known for their engaging teaching methods, our Data Analytics Trainers ensure that each session is interactive and tailored to different learning styles, helping students build a solid grasp of core data analytics concepts.
    • Complex topics such as statistical analysis, data modeling, and visualization are made simple and actionable, allowing learners to confidently apply them in business scenarios.
    • Our curriculum is aligned with the latest trends and tools in the industry, including Python, SQL, Excel, Tableau, and Power BI ensuring learners stay ahead with relevant, up-to-date knowledge.
    • With a strong focus on practical experience, Data Analytics Trainers guide participants through hands-on projects, live examples, and exercises that develop real-world analytics skills.
    • In addition to technical training, learners receive continuous mentoring, career advice, and support empowering them to pursue successful careers in Data Analytics, BI, or Data Science.

    Data Analytics Course FAQs

    Who are the course instructors, and how are they selected?

    At ACTE, all instructors are seasoned industry professionals with at least 10–12 years of relevant IT experience. Actively working in live corporate settings, they bring practical, current industry knowledge into the training. They are chosen for their knowledge, teaching skills, and practical experience to provide quality training with real-world applicability that meets the needs of the industry.
    Of course, ACTE offers practice tests developed to assist learners in assessing and consolidating knowledge and skills within the applicable domain. These tests are effective tools for monitoring progress and preparing for realistic applications.
    • ACTE is the Legend in offering placement to the students. Please visit our Placed Student list on our website.
    • We have solid working relationships with more than 700+ of the world's leading multinational corporations, including SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, ZOHO, TCS, IBM, and more.
    • More than 3500+ students placed last year in India & Globally. Our Placement Cell support you till you get placed in a better MNC.
    • Please Visit Your Student Portal. Here, the FREE Lifetime Online Student Portal helps you to access Job Openings, Study Materials, Videos, Recorded sections, & Top MNC Interview Questions.
    Yes, we offer job assistance upon course completion
    • Practical Experience
    • Hands-On Projects
    • Resume Preparation
    • Aptitude and Technical Skills
    • Mock Interviews
    • Group Discussions
    To enroll in ACTE's Data Analytics course, visit their website, navigate to the course page, and click Enroll Now. Fill out the form, choose your preferred batch timing, and start your Data Analytics journey today!
    The Data Analytics Master Program Training at ACTE provides in-depth knowledge of data analysis, visualization, and business intelligence. You will gain practical experience with tools such as Excel, SQL, Tableau, and Python to analyze, interpret, and visualize data. Through hands-on projects, you'll develop the skills to derive actionable insights and make informed decisions, equipping you for a successful career in data analytics and business intelligence.
    The ACTE certification validates abilities and knowledge in particular domains, which is valuable for career advancement. However, depending on employer preferences, industry norms, and how applicable the accreditation is for specific roles, its significance and recognition may differ.
    • A basic understanding of mathematics and statistics
    • Knowledge of Excel
    • Familiarity with databases
    • An understanding of business processes
    • Basic programming knowledge
    Indeed, many training programs are demanding as far as working on actual projects is concerned. More practical experience and a better understanding of the world and real lines actually give participants concrete skills, which enhances the employability of these trainees and readiness for professional roles.
    If you are unable to attend a class at ACTE, you can view recorded sessions or request make-up lessons. Additionally, resources and training materials are provided to help you compensate for missed content.
    Our course is easily manageable alongside your real-life commitments because it is available in customized one-on-one, fast-track, tailored, and online training modes.
    Learn Data Analytics at ACTE to take advantage of comprehensive training, an industry-standard curriculum, experienced instructors, real-world assignments, certification, assistance in obtaining employment, and a friendly learning environment that will ensure your success in the field.
    Yes, the Data Analytics classes will contain hands-on practice, real-world projects, and interactive discussions. They also include mock interviews and group discussions to improve your skills and prepare you for the job market. You will learn to solve technical issues properly and be successful in team-based settings.
    Yes, we give students lifetime access to the study materials, videos, and top MNC interview questions on the Student’s Portal.
    We offer recorded video lessons for the training. After you complete the payment and enroll in the course, you will gain access to the pre-recorded sessions through our course platform, allowing you to watch them at your own pace.
    The salary range for a Data Analytics professional is between 6 lakhs and 18 lakhs per year, and with increasing reliance on data-driven decisions, skilled analysts are seeing steady growth in demand and compensation.
    Yes, Learning Data Analytics is easy because of the various tools and resources available online with user-friendly interfaces. Most basic concepts are mathematical or statistical, logical, and learnable with some hands-on knowledge. Many also offer hands-on exercise programs with real-world projects where you can actually apply your learned knowledge.
    • Data Collection
    • Data Cleaning
    • Data Analysis
    • Data Visualization
    Yes, Data Analytics is the best option for freshers. The field is in hot demand across various industries globally. With more and more people focusing on data-driven decisions, there are many career opportunities. Thanks to the numerous courses, certifications, and resource availability, freshers easily acquire skills to succeed in this field.
    The primary use case for data analytics is to support a data-driven decision-making ecosystem across industries. It improves the optimization of business processes, customer experiences, and strategy refinement. Data analytics is particularly useful in domains such as marketing, healthcare, and finance, helping to reduce the risk of making unwise decisions and utilizing scarce resources efficiently.
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          Job Opportunities in Data Analytics

          More Than 35% Prefer Data Analytics for Business. Data Analytics Is One of the Most Popular and In-Demand Technologies in the Business World.

          You can Work as a
          Data Architect Business Analyst Data Scientist Data Engineer Data Analyst Big Data Engineer Business Intelligence Analyst
          Upcoming In-Demand Jobs
          Supply Chain Analyst Operations Analyst Marketing Analyst Quantitative Analyst Financial Analyst
          Salary In Data Analytics

          Reach Our Placement Officer

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