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Data Analytics Course in Hebbal

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Rated #1 Recognized as the No.1 Institute for Data Analytics Course in Hebbal

Rated Among the Best for Data Analytics Course in Hebbal, We Deliver High-Impact Courses Crafted by Industry Experts for Career-Focused Learners.

Gain Proficiency in Analytics Tools, Data Storytelling, and Business Insights Through Immersive Training. Take the First Step With Our Data Analytics Course Offering Placement Services and Real-World Project Exposure. Master in-demand tools while building a portfolio that showcases your ability.

  • Upcoming Training Batch Filling Fast – Apply Now!
  • Learn Data Analytics End-to-End with Expert Trainers.
  • Full-Stack Data Analytics Course in Hebbal Location.
  • Practice Real Interview Questions from Top Recruiters.
  • Join 12,000+ Students Who’ve Launched Their Careers.
  • Lifetime Access to Class Recordings & Support Materials.

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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

Get Your Career with Our Data Analytics Training

  • Our Data Analytics Course in Hebbal is ideal for students, job seekers, and professionals looking to build strong analytical foundations and land high-paying roles.
  • The curriculum includes data acquisition techniques, real-time visualization, insights communication, and practical analytics applications using real industry datasets.
  • Data Analytics Training is offered through classroom sessions, online bootcamps, remote labs, and on-demand practice modules for flexible, result-oriented learning.
  • Seasoned trainers with expertise in BFSI, e-commerce, and retail analytics guide students through real client use cases and tool integration practices.
  • Completion of this course paves the way for roles such as Data Visualization Analyst, Business Intelligence Developer, and Junior Data Scientist.
  • Data Analytics Training assists with creating interactive project portfolios, scheduling interviews with hiring partners, and helping learners stand out in the competitive analytics job market.
  • By the end of your training, you’ll be well-prepared to execute data strategies and deliver actionable insights that drive company-wide performance improvements.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

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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 Training in Hebbal

    Course Objectives

    Joining a Data Analytics training course helps you develop the skills needed to understand data, make smarter decisions, and drive business impact. It prepares you for a rewarding career in a field that’s rapidly growing and highly valued across industries. You’ll gain both technical and strategic expertise that can be applied in many roles.
    • A basic grasp of math or statistics is useful but not mandatory.
    • Comfort with using computers and basic software is essential.
    • Familiarity with Excel or similar tools is helpful.
    • No coding experience is required to start.
    • A curious mind and eagerness to learn are the most important traits.
    Data Analytics courses blend theory with practice. You’ll analyze data, work on real-life case studies, and build interactive dashboards using tools like Excel, SQL, Python, and Tableau. Engaging lectures, group activities, and quizzes help you retain and apply what you learn.
    • Explore real-world datasets for analysis and visualization
    • Write SQL queries and automate tasks using Python
    • Create dashboards with Tableau or Power BI
    • Tackle case studies based on actual business problems
    • Data collection and preparation techniques
    • Exploratory data analysis and data visualization
    • Introduction to statistics and basic probability
    • Programming basics using Python or R
    • Storytelling with data and report building
      Strong problem-solving, an analytical approach, and attention to detail are key. Knowing basic statistics or Excel gives you a head start. Communication skills help you share insights clearly, and adaptability helps you stay current with new tools and trends.
    Absolutely! Many Data Analytics programs are designed for complete beginners. They start with fundamentals and gradually move to advanced topics. Through step-by-step guidance and real-world projects, even those without prior experience can become confident analysts.

    Which Tools Will You Learn to Use?

    • Excel or Google Sheets for basic data tasks
    • SQL for data querying and management
    • Python or R for deeper data analysis
    • Tableau and Power BI for data visualization
    • Exposure to cloud tools in advanced levels

    Is There Job Demand for Data Analytics Professionals?

    Definitely. Data Analytics is one of the most in-demand skills today. Businesses of all kinds rely on data to make informed decisions, creating ongoing demand for skilled analysts. Whether in finance, healthcare, tech, or retail job opportunities continue to rise.

    What Career Opportunities Are Available?

    • Start with roles like Data Analyst or Business Analyst
    • Move into specialties such as Data Visualization or Forecasting
    • Enjoy strong salaries and global job options
    • Work across industries or join tech startups
    • Progress into senior roles with more responsibility

    Is It Beginner-Friendly to Learn Data Analytics?

    Yes, most learners can pick it up with the right course structure. Concepts are explained in a beginner-friendly way and supported by hands-on projects. With consistent learning and curiosity, anyone can become skilled in Data Analytics even without a tech background.
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    Overview of Data Analytics Training in Hebbal

    Data Analytics means using numbers and information to understand what’s going on. Every company collects a lot of data like sales, customer feedback, and website visits. But to make that information useful, we have to clean it, organize it, and find patterns. That’s what data analysts do. There are different types of analytics: some tell us what happened, some explain why, some guess what might happen in the future, and some suggest what to do next. You can use tools like Excel, Google Sheets, Tableau, or Python to work with data. It’s like solving a puzzle figuring out what the numbers are trying to tell you. People use data analytics in many areas like shopping apps, hospitals, sports, banks, and even schools. It helps make better decisions. You don’t need to be great at math to get started, just curious and ready to learn. Learning data analytics can help you get a good job, solve real-world problems, and understand the world better.

     

    Additional Info

    Prospects and Advancements in Data Analytics

    • Industry Demand: Data Analytics is becoming a cornerstone across various industries, including finance, healthcare, retail, and technology, due to its ability to transform raw data into strategic insights.
    • Career Opportunities: Expertise in Data Analytics paves the way for a variety of in-demand roles, including Data Analyst, Business Analyst, Data Scientist, Data Engineer, BI Developer, and Analytics Consultant.
    • Ongoing Innovation: The field of data analytics continues to evolve with innovations in AI, machine learning, big data technologies, and cloud computing.
    • Career Advancement: Certifications in Data Analytics, such as those from Google, Microsoft, IBM, or SAS, enhance credibility and improve job prospects.
    • Comprehensive Technology Ecosystem: Data Analytics operates within a vast technology ecosystem that includes data warehouses, ETL pipelines, cloud platforms, and tools such as Tableau, Power BI, Python, R, SQL.
    • Industry Relevance: As businesses strive to become more data-driven, Data Analytics remains a highly relevant discipline across all sectors.
    • Gateway to Advanced Concepts: Mastering Data Analytics opens doors to advanced concepts, including predictive modeling, data mining, AI integration, natural language processing (NLP), and deep learning.

    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.

    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

    • In-Demand Skill Development: Master high-demand analytics skills valued across industries. Stay competitive in today’s data-driven world.
    • Career Opportunities: Qualify for roles like Data Analyst, Business Analyst, and Data Scientist. Expand your career options across multiple fields.
    • Improved Decision-Making: Turn complex data into actionable insights. Support smarter, data-driven business decisions.
    • Hands-On Tool Experience: Get trained in Python, SQL, Power BI, Tableau, and Excel. Gain practical skills using industry-standard tools.
    • Higher Salary Potential: Enjoy higher-than-average salaries in analytics roles. Unlock strong career growth opportunities.
    • Cross-Industry Applications: Apply analytics in finance, healthcare, retail, marketing, IT, and more. Be adaptable across various sectors.
    • Stronger Analytical Thinking: Improve critical thinking, data interpretation, and problem-solving. Approach challenges with logic and insight.
    • Certification & Credibility: Earn industry-recognized certifications. Enhance your resume and professional credibility.
    • Real-Time Project Exposure: Work on case studies and projects to apply your knowledge in practical scenarios.
    • Foundation for Advanced Learning: Acts as a stepping stone for learning data science, AI, or machine learning.
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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 in Hebbal
    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
    End-to-End Data Dashboard

    Build a full-stack dashboard using Power BI or Tableau to present company-wide KPIs. Combine data sources for interactive visuals and real-time insights.

    Project 2
    Data Cleaning & Transformation Pipeline

    Design a complete ETL pipeline using Python and SQL for raw-to-cleaned data conversion. Automate ETL with built-in error handling and logging.

    Project 3
    Business Metrics Dashboard

    Create a dashboard to track sales, profits, and regional trends. Include filters for time, category, and location to enable detailed performance analysis.

    Project 4
    Customer Behavior Prediction

    Build a model to forecast customer actions like churn or repeat purchases. Use historical data, apply ML algorithms, and visualize results with charts.

    Advance Your Career with Our Data Analytics Placement Support

    • Our Data Analytics Placement program is crafted to bridge the gap between skilled professionals and leading companies across industries like technology, finance, healthcare, consulting, and e-commerce.
    • Data Analytics Placement provides end-to-end placement preparation through mock interviews, technical assessments, and aptitude sessions empowering students to confidently step into competitive roles.
    • With our dedicated placement portal, you’ll receive instant updates on job openings, interview timelines, and employer communications to stay ahead.
    • Our Data Analytics Placement experts offer personalized career guidance, matching students with roles that best align with their skills, strengths, and long-term goals in analytics.
    • We collaborate with a wide network of hiring partners from agile startups to large corporations delivering diverse and rewarding career opportunities.
    • Our strong reputation and strategic industry ties demonstrate our ongoing commitment to student success in the fast-growing field of data analytics.

    Gain a Recognized Data Analytics Certification

    Boost your career prospects with a Data Analytics Certification that validates your ability to work with real-world data and derive meaningful insights. This certification demonstrates your expertise in using tools such as Python, SQL, Excel, Tableau, and Power BI to transform raw data into actionable strategies. It’s ideal for professionals aiming to break into or grow within fields like data analysis, business intelligence, and data science giving you a distinct advantage in today’s competitive job market.

    • Verified Expertise
    • Expanded Career Opportunities
    • Enhanced Employability
    • Stronger Skillset
    • Industry Recognition
    Yes, earning a certification is a strong step toward getting hired. It highlights your technical expertise and hands-on experience, making you a standout candidate for data-driven roles and increasing your chances of landing the job you want.
    A basic understanding of data, Excel, and statistics is helpful. Some certifications are beginner-friendly, while others may expect knowledge of tools like Python or SQL. Prior experience working with data sets can be beneficial.
    • Data Analytics Associate
    • Business Intelligence Specialist
    • Professional Data Analyst
    • Advanced Analytics Expert (with ML & AI focus)
    • Data Analyst
    • Business Analyst
    • BI Developer
    • Entry-Level Data Scientist
    • Reporting/Operations Analyst
    • Financial or Market Research 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

    Learn from Seasoned Experts Data Analytics Trainers

    • Our Data Analytics Trainers are highly qualified professionals with deep expertise and hands-on experience in delivering impactful analytics solutions across industries.
    • Data Analytics Trainers have contributed to top global companies such as Google, Amazon, Microsoft, IBM, and Deloitte bringing real-world scenarios, live case studies, and practical frameworks into the classroom.
    • Their learner-focused teaching methods ensure that even complex concepts like statistical modeling, data visualization, and data interpretation are taught in a clear, approachable way.
    • You’ll gain real-time experience working with in-demand tools like Python, SQL, Excel, Tableau, and Power BI equipping you with the practical skills employers are looking for.
    • Our course content is continuously updated to reflect the latest trends and technologies, ensuring you're always learning what's most relevant in today’s analytics landscape.
    • Beyond training, our expert Data Analytics Trainers offer personalized support, career readiness sessions, and job search assistance to help you transition smoothly into top roles in Data Analytics and Business Intelligence.

    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.

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          Data Architect
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          Upcoming In-Demand Jobs
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          Salary In Data Analytics

          Reach Our Placement Officer

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