Expert Data Analytics Training in Indira Nagar | Updated 2025
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Data Analytics Training in Indira Nagar

22369 Ratings

Rated #1 Rated Institute for Data Analytics Training in Indira Nagar

Enroll in ACTE’s Data Analytics Training in Indira Nagar, Led by Industry Experts, to Refine Your Skills in Data Analytics Technologies, Gain Hands-On Experience, and Advance Your Career.

Upon Completing Our Data Analytics Course, Students Will Gain a Solid Understanding of Analytical Methodologies, Tools, and Techniques Used Across the Data Life Cycle. They Will Also Learn Advanced Methods for Data Visualization, Predictive Analytics, and Efficient Real-Time Data Processing.

  • Premium Tools & Expert Mentorship in Indira Nagar.
  • Get Lifetime Access to All Recorded Classes & Notes.
  • Interview Readiness with Company-Specific Questions.
  • Trained Over 12,000 Students with Excellent Outcomes.
  • Practical Training from Day One to Build Strong Foundations.
  • Join the Upcoming Batch for Data Analytics Training in Indira Nagar!

Call Course Advisor

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

Boost Your Career with Our Data Analytics Training

  • Our Data Analytics Training in Indira Nagar is structured to help you build a solid foundation in data analysis and visualization with a focus on strategic business insights.
  • The Data Analytics Training covers descriptive analytics, exploratory data analysis (EDA), statistical modeling, dashboards, and KPI management through live business cases.
  • Training formats include evening classes, flexible weekend schedules, 1-on-1 mentoring, and access to real-time analytics labs for continuous learning.
  • Expert mentors from the consulting and product analytics industries provide personalized coaching using tools like Looker, Tableau, Python, and SQL.
  • Data Analytics Training Certification from our program qualifies you for mid-to-senior roles such as Analytics Consultant, BI Analyst, and Decision Science Associate.
  • We support your journey with analytics hackathons, networking opportunities with hiring managers, resume mentoring, and domain-specific interview preparation.
  • Upon Data Analytics Training completion, you’ll be ready to confidently drive analytics innovation and data-driven decision-making in today’s organizations.
  • 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

30-June-2025
Weekdays

Weekdays Regular

08:00 AM & 10:00 AM

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

02-July-2025
Weekdays

Weekdays Regular

08:00 AM & 10:00 AM

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

5-July-2025
Weekends

Weekend Regular

(10:00 AM - 01:30 PM)

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

6-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 Indira Nagar

    Course Objectives

    Enrolling in a Data Analytics course helps you build the skills needed to analyze large datasets, draw meaningful conclusions, and support smarter business decisions. It’s a powerful way to access a fast-growing job market, and the analytical abilities you gain can be applied across virtually every industry.
    • You don’t need to be a math expert, basic knowledge is enough.
    • Comfort using computers and common tools is important.
    • Prior experience with Excel or similar tools is beneficial.
    • No coding experience? No problem. Many courses start from scratch.
    • Most importantly, bring curiosity and a passion for working with data.
    The course blends lectures with interactive practice. You’ll use tools like SQL, Excel, Python, and Tableau to solve business challenges, work on real-time projects, and explore industry case studies. Group discussions and assessments reinforce both concepts and practical skills.
    • Clean and prepare actual datasets
    • Write SQL queries and Python scripts for analysis
    • Design insightful dashboards in Tableau or Power BI
    • Complete business case projects based on real-world scenarios
    • Data collection, transformation, and preparation
    • Visual analytics and chart-building
    • Fundamental statistics and applied probability
    • SQL and introductory Python or R programming
    • Reporting, dashboard design, and storytelling with data
    Key traits include a logical approach to problems, good attention to detail, and a knack for spotting patterns. Familiarity with data tools and concepts is useful, but strong communication and an eagerness to learn new technologies are what really set learners apart.
    Yes! Many courses are structured for those starting out. Foundational topics are covered early on, with step-by-step guidance to help you grow in confidence. You’ll build your skills gradually and finish the course ready to take on analytics tasks in a professional setting.

    Which Tools Will You Learn to Use?

    • Spreadsheet tools Excel or Google Sheets
    • Databases SQL and querying techniques
    • Programming languages Python or R
    • Visualization Tableau, Power BI, matplotlib
    • Exposure to cloud platforms and big data tools (in advanced courses)

    Is Data Analytics a Good Career Choice?

    Without a doubt. As businesses grow more data-centric, skilled analysts are in high demand. Organizations are seeking professionals who can turn raw data into strategic insights, and this trend is only increasing making it a smart, future-ready career move.

    What Career Opportunities Await You?

    • Roles like Data Analyst, Business Analyst, or Junior Data Scientist
    • Career paths in healthcare, finance, IT, e-commerce, and more
    • Strong starting salaries with fast growth potential
    • Global demand and job flexibility
    • Opportunities to lead data-driven initiatives in the future

    Can a Beginner Really Learn Data Analytics Easily?

    Yes, especially with structured, hands-on training. The learning curve is manageable when content is broken into clear steps. With consistent practice and instructor support, anyone with the right mindset can learn to turn data into insights and thrive in analytics roles.
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    Overview of Data Analytics Course in Indira Nagar

    Data Analytics involves the systematic examination of data to extract meaningful insights that support smarter decision-making. By organizing, analyzing, and interpreting data, businesses can identify trends, detect patterns, and gain a deeper understanding of their operations and customers. The goal is to turn raw data into valuable information that drives efficiency, strategy, and performance. Data analytics is typically divided into four types: Descriptive (summarizing past events), Diagnostic (identifying causes), Predictive (forecasting outcomes), and Prescriptive (recommending actions). As organizations embrace digital transformation, data analytics plays a vital role across multiple sectors, including retail, healthcare, finance, education, and logistics. Popular tools such as Python, SQL, Power BI, Excel, and Tableau are widely used to clean, process, and visualize data. These tools help professionals turn complex data into clear, actionable insights. With the growing demand for data-driven strategies, skilled data analysts are highly sought after. Whether you're starting your career or upskilling to stay competitive, mastering data analytics offers endless opportunities to solve real-world problems and contribute to smarter, more efficient decision-making in any industry.

     

    Additional Info

    Future Scope of Data Analytics

    • Extensive Industry Use: Data analytics has become essential across sectors like finance, healthcare, retail, e-commerce, and tech, enabling companies to turn vast data into actionable business strategies.
    • High-Demand Careers: As the reliance on data grows, so does the demand for professionals in roles like Data Analyst, BI Developer, Data Scientist, Analytics Consultant, and Data Engineer.
    • Tech-Driven Growth: Innovations in machine learning, AI, cloud computing, and big data are reshaping the analytics landscape, expanding its capabilities and relevance.
    • Career Boost with Certifications: Professional certifications from leading organizations such as Microsoft, Google, SAS, and IBM help enhance your resume, increase earning potential, and support career advancement.
    • Diverse Tool Ecosystem: Data analytics professionals work with a broad set of tools and platforms including Python, R, SQL, Tableau, Power BI, and cloud services like AWS, Azure, and GCP.
    • Essential Across Industries: As businesses aim to be more data-driven, analytics remains at the heart of operations, helping drive efficiency, innovation, and strategic decisions.
    • Gateway to Advanced Technologies: Gaining expertise in analytics opens doors to cutting-edge fields such as predictive analytics, AI integration, deep learning, and natural language processing (NLP).

    Popular Tools Commonly Utilized in Data Analytics

    • 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.

    Advantages of Pursuing a Data Analytics Course

    • Acquire In-Demand Expertise: Equip yourself with skills that are highly valued across today’s digital-first industries.
    • Explore Diverse Career Roles: Open the door to job titles such as Data Analyst, Business Analyst, or Data Scientist.
    • Turn Data into Insights: Learn how to extract meaningful conclusions from raw data to guide effective business strategies.
    • Experience Leading Tools Firsthand: Train with widely used tools like Python, SQL, Excel, Tableau, and Power BI.
    • Increase Your Salary Potential: Professionals with data analytics training are often rewarded with higher pay and faster promotions.
    • Work Across Industries: Apply your skills in finance, healthcare, marketing, logistics, IT, and more. Broaden your career opportunities by working in diverse sectors that rely heavily on cloud-based solutions.
    • Sharpen Analytical Thinking: Enhance your ability to interpret data, solve problems, and think critically. Develop the confidence to make data-driven decisions and optimize processes using cloud tools.
    • Earn Trusted Certifications: Validate your knowledge with recognized credentials that strengthen your professional profile.
    • Gain Practical Experience: Work on real-time projects and datasets to build confidence and real-world readiness.

    Key Duties and Functions of Data Analytics Experts

    • Data Collection and Extraction: Gather data from multiple sources, including databases, APIs, and cloud platforms.
    • Tool Utilization: Work with essential tools like SQL, Python, R, Excel, and SAS. Utilize cloud platforms such as AWS, GCP, and Azure for scalable data solutions.
    • Data Analysis: Use statistical methods and analytical techniques to interpret data and uncover patterns or trends.
    • Data Visualization: Create charts, graphs, and dashboards using tools like Tableau, Power BI, Excel, or Python libraries.
    • Reporting: Present findings in an easy-to-understand format to help business teams make informed decisions. Help business teams make well-informed, data-driven decisions.
    • Business Understanding: Collaborate with stakeholders to identify business needs and translate them into analytical tasks.
    • Predictive Modeling: Build and deploy models to forecast future trends, behaviors, or outcomes. Use these forecasts to support strategic decision-making.
    • KPI Tracking: Define, monitor, and optimize key performance indicators relevant to the organization. Continuously optimize these metrics to drive organizational success.
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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 and National Institute of Education (nie) Admedabad.

    Curriculum

    Syllabus For Data Analytics Training in Indira Nagar
    Module 1: Foundations of Data Analysis
    • Static Analysis
    • Counting, Probability, and Probability Distributions
    • Sampling Distributions
    • Estimation and Hypothesis Testing
    Module 2: Exploratory Data Analysis
    • Scatter Diagram
    • ANOVA and Chi-square
    • Data Cleaning
    • Correlation and Regression
    • Imputation Techniques
    Module 3: Data Analytics Overview
    • Importance of Data Analytics
    • Descriptive Analytics
    • Diagnostic Analytics
    • Predictive Analytics
    • Prescriptive Analytics
    • Benefits of Data Analytics
    Module 4: Data Visualization
    • Graphical Techniques
    • Data Types, Measure Of central tendency, Measures of Dispersion
    • Skewness & Kurtosis
    • Box Plot
    • Data Visualization Tools
    Module 5: Basic Excel for Data Analysis
    • The CONCATENATE Function
    • Absolute Cell References
    • Data Validation
    • Conditional Formatting
    • Using the IF Function
    • Pivot Tables
    • Charts
    • Difference between Tables and Ranges
    • Create Table
    • Removing Unwanted Characters from Text
    Module 6: Advanced Excel for Data Analysis
    • Date Formats
    • Conditional Formatting
    • Filtering
    • Lookup Functions
    • Sorting
    • Pivoting
    Module 7: Structured Query Language (SQL)
    • SQL SELECT Statement
    • Usage of Single-Row Functions
    • Invoke Conversion Functions
    • Conditional Expressions
    • Aggregate Data Using the Group Functions
    • Display Data From Multiple Tables Using Joins
    • Use Sub-queries to Solve Queries
    • The SET Operators
    • Data Manipulation Statements
    • Use of DDL Statements to Create and Manage Tables
    • Management of Schema Objects
    • Manipulate Large Data Sets
    • Data Management in Different Time Zones
    • Retrieve Data Using Sub-queries
    • Regular Expression Support
    Module 8: Data Visualization Tools- Power BI
    • Introduction to Power BI
    • Power BI Desktop
    • Data Source Connection
    • Data Transforming
    • Modeling using Power BI
    • Data Visualization
    • Reports and Dashboards
    • Publishing and Sharing Reports
    Module 9: Data Visualization Tools- Tableau
    • Tableau Basic Reports
    • Tableau Charts
    • Tableau Advanced Reports
    • Calculations & Filters
    • Tableau Dashboards
    • Server
    Module 10: Python for Data Analysis
    • Basics of Python
    • Program Flow / Data Flow
    • Functions
    • File Handling
    • Exception Handling
    • OOP Concepts
    • Comprehension in Python
    • Thread and DateTime
    • Advanced data Structure/collections
    • GUI programming with Python
    • API access with Python
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    Need customized curriculum?

    Data Analytics Projects

    Project 1
    Ad Click-Through Rate Prediction

    Predict which ads users are likely to click by analyzing their behavior, preferences, and demographics. Machine learning models like logistic regression and decision trees identify patterns linking user traits to ad engagement.

    Project 2
    E-Commerce Conversion Funnel Analysis

    Identify where users drop off in the purchase journey by tracking interactions across all funnel stages. Tools like heatmaps and session recordings reveal friction points causing drop-offs, such as confusing navigation.

    Empower Your Career with Our Data Analytics Placement Support

    • Our Data Analytics Placement program bridges the gap between training and employment by connecting learners with leading companies.
    • Stay informed with our dedicated placement portal, where you'll get real-time updates on job opportunities, interview schedules, and company communications.
    • Our expert Data Analytics Placement team works closely with each student, offering personalized guidance to align career goals with suitable analytics roles.
    • We collaborate with a wide range of hiring partners from agile startups to multinational corporations offering diverse placement opportunities.
    • Backed by strong industry partnerships and a solid placement record, our institute is committed to helping you succeed and thrive in the growing field of data analytics.
    • Data Analytics Placement ensures students are industry-ready through focused preparation, including technical evaluations, aptitude sessions, and mock interviews that build confidence and competence.
    • We also provide ongoing career support post-placement, including mentorship and skill development workshops, to help you grow continuously in your data analytics career.

    Get Your Data Analytics Certification and Boost Your Career

    Achieving a Data Analytics Certification significantly strengthens your professional profile and expands your career opportunities in today’s data-centric world. This certification validates your ability to work with tools like Python, SQL, Excel, Tableau, and Power BI proving that you can analyze data effectively, generate insights, and support strategic decision-making. Whether you're targeting roles in analytics, business intelligence, or data science, certification helps you stand out in a competitive job market.

    • Proves your ability to work with real-world datasets, perform analysis, and create data-driven reports.
    • Opens doors to roles such as Data Analyst, Business Analyst, BI Developer, and Data Scientist.
    • Boosts your appeal to employers with practical skills in data handling and visualization.
    • Develops key skills in data cleaning, analysis, modeling, and dashboarding.
    Yes, a certification plays a key role in strengthening your profile by showcasing your real-world data analytics skills. It helps you stand out to employers and improves your chances of landing your desired job.
    To pursue certification, a foundational understanding of statistics, Excel, and basic data analysis is helpful. Some certifications are beginner-friendly, while others may require familiarity with Python, SQL, or BI tools. Prior experience in working with datasets is an added advantage.
    • Certified Data Analytics Associate
    • Certified Business Intelligence Specialist
    • Certified Data Analyst – Professional
    • Advanced Analytics Expert (with ML/AI integration)
    • Data Analyst
    • Business Analyst
    • BI Developer
    • Market Research Analyst
    • Operations Analyst
    • Reporting 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

    Get Trained by Industry-Leading Expert Data Analytics Trainers

    • Our Data Analytics Trainers are seasoned professionals with rich experience in delivering real-time analytics solutions and hold multiple industry-recognized certifications.
    • Data Analytics Trainers bring knowledge from renowned companies such as Google, Amazon, Microsoft, Deloitte, and IBM offering learners practical insights, real-case problem solving, and expert-level guidance.
    • Known for their interactive and learner-friendly teaching style, our Data Analytics Trainers ensure that even complex concepts like data modeling, statistics, and dashboard creation are easy to grasp and apply.
    • You’ll work with real datasets and business scenarios to gain hands-on experience in tools like Python, SQL, Excel, Tableau, and Power BI preparing you for real-world analytics challenges.
    • Our curriculum is constantly refreshed to stay current with industry standards, so learners acquire relevant, job-ready skills that stand out in today’s competitive market.
    • Beyond classroom sessions, our trainers also offer one-on-one mentorship, career counseling, and placement support to help you confidently transition into roles in Data Analytics and Business Intelligence.
    • Trainers also guide learners in building impactful portfolios and preparing for technical interviews, increasing their chances of landing high-quality roles in top organizations.

    FAQ

    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.
    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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