Best Data Analytics Course in Marathahalli | Updated 2025
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Data Analytics Training In Marathahalli

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Rated #1 Rated Institute for Data Analytics Training In Marathahalli

Recognized as Top Data Analytics Training in Marathahalli, We Deliver Industry-Relevant Courses Designed for Both Beginners and Professionals.

With a Focus on Practical Learning and Expert Mentorship, Our Program Empowers You With the Technical and Analytical Skills Needed to Excel. Join Our Data Analytics Course With Placement Guidance and Unlock Top-Tier Job Opportunities.

  • Access All Course Materials Anytime, Anywhere.
  • Crack Top MNC Interviews with Expert Mentorship.
  • Industry-Centric Curriculum from Basics to Advanced.
  • Trained 12,000+ Students | Backed by 350+ Recruiters.
  • Limited Seats Available – Join the Upcoming Batch Now!
  • Real-Time Projects & Case Studies in Data Analytics Training in Marathahalli.

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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

Boost Your Career with Our Data Analytics Course

  • Our Data Analytics Training in Marathahalli is designed to equip learners with a strong foundation in analytics and data visualization tailored for today’s tech-driven job market.
  • Trainees will explore statistical analysis, real-time dashboard creation, data querying, performance tracking, and customer behavior analytics to build practical skills for interpreting and solving real-world business challenges.
  • We provide interactive classroom sessions, online instructor-led classes, and self-paced modules to offer flexibility for all learners, ensuring accessibility without compromising the quality of education and engagement.
  • Sessions are conducted by experienced professionals skilled in Python, SQL, Power BI, Excel, and Tableau, offering hands-on Data Analytics Course that bridges theoretical concepts with real-world industry applications.
  • Successful course completion earns a recognized Data Analytics Course Certification that enhances your professional credibility and prepares you for roles such as Business Analyst, or Data Reporting Specialist.
  • Our career support team assists with interview preparation, resume optimization, career guidance, and shares exclusive job leads through our hiring network to improve your chances of landing a relevant role.
  • By the end of the Data Analytics Course, you’ll confidently analyze large datasets, derive actionable insights, and make data-driven decisions that contribute to improved business performance and strategic efficiency.
  • 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

     

    Most Job Oriented Tools Covered in Data Analytics Course in Marathahalli

    Course Objectives

    Enrolling in a Data Analytics course helps you build the ability to interpret data, derive actionable insights, and support strategic business decisions. It opens up career opportunities in a rapidly growing domain where data literacy is highly valued. You’ll gain technical and analytical skills that are applicable across a wide range of industries, making you a versatile and sought-after professional.
    • A basic grasp of mathematics and statistics can be helpful but isn’t always mandatory.
    • Comfort with using computers and common software is essential.
    • Some familiarity with Excel or spreadsheets is beneficial.
    • No programming background is required for beginner-level courses.
    • A logical mindset and willingness to learn are crucial for success.
    Data Analytics training offers a mix of instructor-led lectures, interactive assignments, real-life projects, and hands-on practice. Learners work with actual datasets using tools such as Excel, Python, R, and SQL. You’ll also engage in discussions, case studies, and quizzes to reinforce concepts and promote collaborative learning.
    • Real-world datasets for data cleaning and transformation
    • Use of Excel, SQL, Python, or R for querying and analysis
    • Creation of dashboards and reports using Tableau or Power BI
    • Case studies that simulate real business scenarios and decision-making
    • Techniques for collecting, cleaning, and preparing data
    • Exploratory data analysis and visual storytelling
    • Applied statistics and probability
    • SQL and Python/R fundamentals for analytics
    • Data presentation, dashboarding, and reporting methods

      Key skills include strong problem-solving, critical thinking, and attention to detail. Understanding of basic statistics and the ability to work with tools like Excel, SQL, or Python/R is highly useful. Communication skills are also important for presenting data insights clearly. A curious mindset and eagerness to keep learning will help you progress further.

    Absolutely! Many Data Analytics courses are tailored for beginners and cover core concepts from the ground up. They start with the basics and gradually move to advanced techniques, using simple language and guided exercises. With hands-on training and practical examples, even those new to analytics can build confidence and expertise.

    What tools and technologies are taught in the course?

    • Spreadsheet tools like Excel and Google Sheets
    • SQL databases for querying and analysis
    • Programming languages like Python or R
    • Data visualization tools such as Tableau, Power BI, or matplotlib
    • Advanced tools or cloud platforms may be introduced in extended programs

    Is Data Analytics a good career option today?

    Yes, Data Analytics is in high demand across sectors like IT, healthcare, finance, e-commerce, and more. Companies depend heavily on data to guide operations, improve customer engagement, and create smarter strategies. As a result, skilled analysts are highly valued and enjoy strong career prospects and job security.

    What’s the future outlook for careers in Data Analytics?

    • Growing demand across multiple industries
    • More companies are prioritizing data-driven strategies
    • Diverse roles available: Data Analyst, Business Analyst, Data Scientist, etc.
    • Attractive salary packages and long-term growth potential
    • Lifelong learning opportunities as tools and technologies evolve

    Is Data Analytics beginner-friendly?

    Yes, with structured training and consistent practice, beginners can learn Data Analytics effectively. Courses are designed to simplify technical concepts and make them approachable. With a curious mindset, logical thinking, and regular hands-on work, learners can steadily build proficiency and confidence in the field.
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    Overview Of Data Analytics Course in Marathahalli

    Data Analytics is the process of examining data sets to draw conclusions about the information they contain. It is widely used in businesses to enable informed decision-making, optimize operations, and improve customer satisfaction. By identifying patterns, trends, and correlations within raw data, organizations can uncover insights that may otherwise go unnoticed. The core types of analytics include descriptive, diagnostic, predictive, and prescriptive. Descriptive analytics explains what has happened; diagnostic reveals why it happened; predictive anticipates what is likely to happen, and prescriptive suggests the best course of action. Tools like Excel, SQL, Python, R, Tableau, and Power BI help professionals manage and visualize large amounts of data efficiently. These tools allow users to clean, process, and model data into meaningful dashboards and reports. Data Analytics Training is used across industries retail uses it for customer insights, healthcare for treatment optimization, and finance for fraud detection. Learning data analytics helps individuals build strong technical and analytical skills that are in high demand. It’s suitable for both beginners and experienced professionals looking to upskill. With the growing importance of digital transformation, data-driven decisions are now at the heart of successful organizations. Whether you're aiming to switch careers or boost your current role, mastering data analytics is a valuable step forward. This field not only enhances career prospects but also supports innovation and better business strategies.

     

    Additional Info

    Roles and Responsibilities of Data Analytics Professionals

    • Data Acquisition: Collect data from diverse sources including databases, APIs, cloud storage, and flat files for analysis.
    • Data Preprocessing: Cleanse, validate, and transform raw data to eliminate inconsistencies and prepare it for analytical use.
    • Analytical Evaluation: Apply statistical tools and data exploration methods to extract meaningful insights and identify trends.
    • Visual Reporting: Design interactive dashboards and visual outputs using tools like Power BI, Tableau, Excel, or Python-based libraries.
    • Insight Presentation: Communicate results clearly through reports that support decision-making across business functions.
    • Business Analysis: Engage with stakeholders to understand objectives and translate them into actionable data-driven strategies.
    • Forecast Modeling: Create and implement predictive models to anticipate customer behavior, market trends, or operational risks.
    • KPI Management: Establish and track performance metrics that align with business goals and operational benchmarks.

    Future Scope of Data Analytics

    • Growing Industry Demand: Data Analytics is becoming essential across industries like finance, healthcare, retail, e-commerce, and technology, thanks to its ability to convert raw data into actionable business insights.
    • Expanding Career Paths: Proficiency in analytics unlocks numerous high-demand roles, including Data Analyst, Business Analyst, Data Scientist, BI Developer, Data Engineer, and Analytics Consultant.
    • Continuous Technological Advancements: The data analytics field is rapidly evolving, integrating with cutting-edge innovations like artificial intelligence, machine learning, cloud computing, and big data platforms.
    • Enhanced Career Growth: Earning certifications from reputable providers such as Google, Microsoft, IBM, or SAS boosts professional credibility, enhances employability, and often leads to higher-paying positions and leadership roles in analytics strategy.
    • Robust Technological Ecosystem: Data Analytics professionals work within a comprehensive ecosystem that includes cloud services (AWS, Azure, GCP), data warehousing, ETL processes, and tools like Tableau, Power BI, SQL, Python, and R.
    • Cross-Industry Relevance: As organizations increasingly adopt data-driven decision-making, analytics continues to hold critical importance across all business sectors.
    • Pathway to Advanced Skills: Mastery in analytics serves as a foundation for exploring advanced areas such as predictive analytics, AI, natural language processing (NLP), deep learning, and data mining.

    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

    • Build In-Demand Skill Development: Master high-demand analytics skills valued across industries. Stay competitive in today’s data-driven world.
    • Expand 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.
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    Key Features

    ACTE Marathahalli 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) Marathahalli.

     

    Curriculum

    Syllabus For Data Analytics Training in Marathahalli

    Module 1: Descriptive Statistics

    • 1. Introduction to the course
    • 2. Descriptive Statistics
    • 3. Probability Distributions

    Module 2: Inferential Statistics

    • 1. Inferential Statistics through hypothesis tests
    • 2. Permutation & Randomization Test

    Module 3: Regression & ANOVA

    • 1. Regression
    • 2. ANOVA(Analysis of Variance)

    Module 4: Machine Learning: Introduction and Concepts

    • 1. Differentiating algorithmic and model based
    • 2. frameworks
    • 3. Regression : Ordinary Least Squares, Ridge
    • 4. Regression, Lasso Regression

    Module 5: Supervised Learning with Regression and Classification techniques -1

    • 1. Bias-Variance Dichotomy
    • 2. NPTEl
    • 3. Department of Management
    • 4. StudiesIIT Madras
    • 5. Model Validation Approaches
    • 6. Logistic Regression
    • 7. Linear DiscriminantAnalysis
    • 8. Quadratic DiscriminantAnalysis
    • 9. Regression and Classification Trees
    • 10. Support Vector Machines

    Module 6: Supervised Learning with Regression and Classification techniques -2

    • 1. Ensemble Methods: Random Forest
    • 2. Neural Networks
    • 3. Deep learning

    Module 7: Unsupervised Learning and Challenges for Big Data Analytics

    • 1. Clustering
    • 2. Associative Rule Mining
    • 3. Challenges for big data anlalytics

    Module 8: Prescriptive analytics

    • 1. Creating data for analytics through designed experiments
    • 2. Creating data for analytics through Active learning
    • 3. Creating data for analytics through Reinforcement learning
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    Need customized curriculum?

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

    Project 1
    Customer Segmentation

    Analyze customer data to group users by behavior and demographics using clustering techniques. Identify patterns in customer interactions and segment users based on shared traits. Use clustering algorithms like K-Means for targeted marketing.

    Project 2
    Sales Forecasting

    Use historical sales data to predict future revenue trends with time series analysis. Examine past sales performance to identify seasonal patterns and trends over time. Apply models like ARIMA or Prophet to forecast revenue and support planning.

    Our Data Analytics Placement Can Help You Find a Job

    • Our Data Analytics Placement program is crafted to build solid industry connections, helping students kickstart rewarding careers in top-tier companies across sectors like IT, finance, healthcare, e-commerce, and consulting.
    • We offer comprehensive Data Analytics Placement preparation, including mock interviews, aptitude tests, and technical assessments, ensuring you are fully prepared and confident to face real-world recruitment challenges.
    • Students gain access to our exclusive placement portal, which provides real-time updates on job opportunities, interview schedules, and personalized notifications for better job tracking and preparation.
    • Our dedicated Data Analytics Placement team collaborates one-on-one with each student to understand their career goals and match them with roles that best align with their strengths and interests in data analytics.
    • We work with a broad network of hiring partners, ranging from emerging startups to established multinational firms, offering diverse placement opportunities across various analytics roles and industries.
    • With a solid industry reputation and strong ties to leading organizations, our institute is committed to helping students succeed and advance in the rapidly evolving field of data analytics.

    Earn a Globally Recognized Data Analytics Certification

    Obtaining a Data Analytics Certification is a powerful step toward building a successful career in the data domain. This credential validates your proficiency in analyzing and interpreting data, using tools like Python, SQL, Excel, Tableau, and Power BI. It proves your ability to transform raw data into meaningful insights that support business decisions across industries. Whether you're pursuing a career in business intelligence, data science, or analytics, this certification boosts your credibility and expands your career prospects in today’s data-driven job market.

    • Proves Your Expertise: Demonstrates your ability to handle real-world datasets, generate reports, and draw actionable insights.
    • Accelerates Career Growth: Opens doors to roles such as Data Analyst, Business Analyst, BI Developer, and more.
    • Improves Job Market Value: Shows employers that you have practical, job-ready skills in data manipulation and visualization.
    • Enhances Technical Skills: Develops key competencies in data cleaning, statistical analysis, dashboard creation, and modeling.
    Absolutely! A certification is a powerful way to validate your data analytics skills. It makes your resume more impactful and increases your potential to secure rewarding career opportunities in the analytics field.
    A basic understanding of Excel, statistics, and data analysis concepts is helpful. Some certifications are beginner-friendly, while others may require familiarity with SQL, Python, or BI tools. Prior experience working with data is a plus but not always required.
    • Certified Data Analytics Associate
    • Certified Business Intelligence Specialist
    • Professional Data Analyst Certification
    • Advanced Analytics Expert (with Machine Learning/AI modules)
    • 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

    Learn From the Best Expert Guidance by Our Data Analytics Trainers

    • Our Data Analytics Trainers are seasoned professionals from globally renowned companies, equipped with multiple certifications and deep, hands-on expertise in executing real-world analytics projects.
    • They bring firsthand insights from top firms like Google, Amazon, Deloitte, IBM, and Microsoft, enriching each session with practical examples, case studies, and industry-proven best practices.
    • Skilled in delivering student-centric training, our Data Analytics Trainers create interactive and inclusive learning environments that cater to varied learning needs, helping every participant build strong analytical foundations.
    • They break down complex topics such as data modeling, statistics, and visualization, making them simple to grasp and apply effectively in business contexts.
    • The training content is continuously updated with the latest market tools and trends, including Python, SQL, Excel, Tableau, and Power BI, ensuring learners gain job-ready, in-demand skills.
    • With a strong emphasis on practical application, Data Analytics Trainers guide learners through live projects, real-time datasets, and hands-on exercises to build confidence in data storytelling and decision-making.
    • Beyond technical training, our mentors provide personalized feedback, career coaching, and support to help learners successfully transition into roles in Data Analytics, Business Intelligence, 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.
    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
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          Data Engineer
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          Big Data Engineer
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          Upcoming In-Demand Jobs
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          Salary In Data Analytics

          Reach Our Placement Officer

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