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Data Analytics Training In Jaya Nagar

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Rated #1 Recognized as the No.1 Institute for Data Analytics Training In Jaya Nagar

Rated among the best for Data Analytics Training in Jaya Nagar, 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. Join a community of learners and industry experts committed to your career growth and success.

  • Personalized Coaching for MNC Job Roles.
  • Reserve Your Spot for This Week’s Fresh Batch!
  • Study Materials, Videos & Portals – Lifetime Access.
  • Learn from Industry Trainers | 12,400+ Learners Trained.
  • Step-by-Step Learning Approach for Beginners & Experts.
  • Advanced Data Tools & Techniques in Data Analytics Training in Jaya Nagar.

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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 Training

  • Our Data Analytics Training in Jaya Nagar is designed to turn ambitious learners into job-ready data professionals capable of transforming raw data into impactful insights.
  • Participants will gain expertise in domains such as data processing, statistical analysis, visualization techniques, dashboard reporting, and business trend evaluation.
  • Data Analytics Training provides multiple learning options including classroom sessions, live online training, weekend classes, and self-paced modules to accommodate different learning styles.
  • Our Data Analytics Training is delivered by industry-accredited mentors proficient in tools like Python, SQL, Excel, Tableau, and Power BI with case-based, hands-on teaching.
  • On course completion, students earn recognized certification, preparing them for roles like Data Analyst, Dashboard Developer, or Business Reporting Specialist.
  • Full career support is included: resume assistance, interview practice, LinkedIn optimization, and job placement opportunities tailored to your goals.
  • By the end of the Data Analytics Training, you'll be confident in using analytics to drive smarter decisions, increase operational efficiency, and support data-first strategies in any business.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

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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 Jaya Nagar

    Course Objectives

    A Data Analytics course empowers you with the ability to understand and interpret large volumes of data, helping organizations make smarter decisions. It prepares you for a rapidly growing career field where analytical skills are highly valued. You'll gain both practical and technical expertise, which are applicable across various industries.
    • A general understanding of math and statistics is beneficial.
    • Basic computer literacy is essential.
    • Prior experience with Excel or similar tools is helpful.
    • No coding knowledge is required for beginners.
    • A curious mindset and logical thinking are key to success.
    The course blends theoretical learning with real-time practice through lectures, exercises, and projects. You’ll analyze real datasets using tools like SQL, Python, and Excel. Hands-on sessions, case studies, and collaborative activities ensure deep understanding and skill development.
    • Working on real-life data to perform cleaning and transformation
    • Using SQL, Python, or R to perform in-depth analysis
    • Designing interactive dashboards using Tableau or Power BI
    • Solving business case studies with data-driven approaches
    • Data gathering, cleansing, and transformation techniques
    • Exploratory data analysis and visualization strategies
    • Core statistical concepts applied to analytics
    • Introduction to programming with SQL, Python, or R
    • Effective reporting and communicating insights through storytelling
    Key skills include critical thinking, an eye for detail, and the ability to solve problems using data. A basic grasp of statistical ideas and familiarity with tools like Excel, SQL, or Python can be advantageous. Strong communication also helps you explain your findings clearly.
    Yes, absolutely! Many programs are tailored for learners with no prior background. They start from the basics and build up to more advanced techniques. With guided practice and step-by-step instructions, beginners can gain confidence and grow their skills steadily.

    Which Tools Will You Learn During the Training?

    • Excel or Google Sheets for spreadsheets and reporting
    • SQL for database querying
    • Python or R for data analysis and automation
    • Tableau or Power BI for visual analytics
    • Advanced cloud and data tools in specialized tracks

    Is Data Analytics a High-Demand Skill?

    Yes! Organizations in every sector including healthcare, finance, IT, and e-commerce are looking for data professionals to optimize operations and customer strategies. With growing data usage, demand for skilled analysts continues to rise, offering stable and promising careers.

    What Are the Career Prospects for Data Analysts?

    • Strong hiring demand across various sectors
    • Job roles like Data Analyst, BI Analyst, and Data Scientist available
    • Attractive salary packages and room for growth
    • Data is becoming central to business decisions, increasing job security
    • Continuous learning keeps professionals up to date and competitive

    Can Beginners Easily Learn Data Analytics?

    Yes, Data Analytics is beginner-friendly when taught properly. Courses are designed to simplify complex ideas and provide hands-on practice. With consistent effort and curiosity, learners can pick up the skills needed to excel and build successful data careers.
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    Overview Of Data Analytics Course in Jaya Nagar

    Data Analytics is a structured process of analyzing raw data to extract actionable insights that support strategic decision-making. It encompasses data collection, preprocessing, visualization, statistical analysis, and modeling. Modern organizations leverage analytics to gain a competitive advantage by improving efficiency, predicting customer behavior, and reducing operational risks. The analytics process is often divided into four categories: descriptive, diagnostic, predictive, and prescriptive. Each serves a different purpose, ranging from summarizing historical data to recommending optimal actions. Tools such as SQL and Excel are used for querying and organizing data, while Python and R are favored for statistical modeling and machine learning. Data visualization platforms like Tableau and Power BI help present insights clearly for stakeholders. Industries like healthcare, retail, manufacturing, and logistics rely on analytics for day-to-day operations and strategic planning. For students and professionals alike, developing analytics expertise opens doors to high-demand careers like data analyst, business analyst, and data scientist. Courses in data analytics typically cover statistics, data visualization, and programming, offering hands-on experience through real-world projects. The ability to interpret and act on data is now a critical skill in the digital age. Whether used to improve marketing campaigns or streamline supply chains, data analytics is a vital tool in the modern business toolkit.

     

    Additional Info

    Advantages of Pursuing a Data Analytics Course in Jaya Nagar

    • Unlock Career Pathways: Step into promising roles such as Data Analyst, Business Intelligence Analyst, or Data Scientist.
    • Drive Better Business Decisions: Learn how to interpret complex data and turn it into impactful business strategies.
    • Hands-On with Top Tools: Gain practical experience using industry-standard tools like SQL, Python, Excel, Tableau, and Power BI.
    • Increase Earning Power: Professionals with analytics skills are often rewarded with competitive salaries and growth opportunities.
    • Versatile Career Options: Use your knowledge in sectors like banking, healthcare, e-commerce, marketing, and IT.
    • Boost Critical Thinking: Strengthen your analytical reasoning and problem-solving abilities through real-world scenarios.
    • Add Recognized Credentials: Stand out with certifications that validate your knowledge and enhance your job profile.
    • Practice Through Projects: Apply what you learn with hands-on projects and case studies based on real business data.

    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.

    Roles and Responsibilities of Data Analytics Professionals

    • Data Collection: Source data from multiple channels such as databases, APIs, cloud platforms, and spreadsheets for analysis purposes.
    • Data Preparation: Clean, standardize, and structure data to remove errors and ensure it's ready for meaningful analysis.
    • Data Interpretation: Use statistical tools and analytical techniques to explore data, identify patterns, and derive insights that support business goals.
    • Visualization Creation: Build charts, graphs, and dashboards using platforms like Power BI, Tableau, Excel, or Python to represent data clearly and effectively.
    • Insight Delivery: Translate complex data findings into simple, actionable insights that support informed business decisions.
    • Business Requirement Analysis: Work with key stakeholders to understand their needs and translate them into specific data tasks or projects.
    • Monitoring KPIs: Define and track key metrics that measure performance, helping teams align efforts with organizational objectives.
    • Tool Mastery: Utilize a broad range of tools including Python, R, SQL, Excel, and cloud environments like AWS, Azure, and Google Cloud.
    • Team Coordination: Collaborate with cross-functional teams such as IT, data engineers, and other analysts to ensure consistent and reliable data delivery.
    • Data Accuracy & Privacy: Ensure all data practices meet governance, quality, and compliance standards to maintain integrity and confidentiality.

    Future Scope of Data Analytics

    • High Industry Adoption: Data Analytics is now a strategic asset across industries like healthcare, finance, retail, e-commerce, and tech, helping businesses transform data into meaningful decisions.
    • Vast Career Potential: Professionals skilled in analytics can pursue rewarding roles such as Data Analyst, Business Analyst, Data Scientist, BI Developer, and Analytics Consultant, all of which are seeing rising demand.
    • Evolving with Innovation: Continuous advancements in AI, machine learning, cloud services, and big data technologies are reshaping the analytics field, creating more sophisticated and intelligent solutions.
    • Professional Growth & Recognition: Certifications from global leaders like Google, Microsoft, IBM, and SAS enhance your credibility, roles, and provide a competitive edge in analytics-driven industries.
    • Modern Tool Ecosystem: Analytics professionals work within an expansive environment of tools and platforms, including AWS, Azure, GCP, Tableau, Power BI, Python, R, SQL, and ETL pipelines.
    • Cross-Industry Impact: As companies prioritize data-driven decision-making, analytics remains crucial for operations, performance tracking, and strategic growth across all sectors.
    • Stepping Stone to Advanced Areas: Mastering data analytics lays the groundwork for exploring advanced topics like AI, deep learning, NLP, data mining, and intelligent automation.
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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 Training in Jaya 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?

    Hands-on Projects

    Project 1
    Fraud Detection System

    Use anomaly detection to identify unusual transaction patterns in financial data. Identify unusual patterns that may indicate fraud or errors.

    Project 2
    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.

    Project 3
    Inventory Optimization

    Analyze sales and supply data to optimize inventory levels and reduce holding costs. Optimize inventory to reduce holding costs and prevent stockouts.

    Project 4
    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.

    Accelerate Your Career with Our Data Analytics Placement Assistance

    • Our Data Analytics Placement program is structured to help students build strong connections with top-tier companies across industries such as technology, finance, healthcare, retail, and consulting.
    • We focus on bridging your skills with employer needs. We provide rigorous training through mock interviews, technical tests, and aptitude sessions to ensure you're fully equipped for competitive analytics roles.
    • This comprehensive preparation builds confidence and sharpens your problem-solving abilities. You’ll be ready to face real-world hiring challenges effectively.
    • We collaborate with a wide network of hiring partners ranging from innovative startups to leading corporations to offer diverse opportunities in the analytics domain.
    • Benefit from strong industry ties and employer networks that support student success and long-term career growth in data analytics.
    • We nurture ongoing partnerships to unlock new opportunities while also building soft skills like communication, teamwork, and adaptability.
    • These qualities are critical to succeeding in collaborative, fast-paced analytics environments. Our program ensures you’re well-rounded and prepared for holistic career growth.

    Get Your Data Analytics Certification and Elevate Your Career

    A Data Analytics Certification is a powerful credential that strengthens your resume and unlocks opportunities in today’s data-driven job market. It validates your skills in interpreting, analyzing, and visualizing data using tools such as Python, SQL, Excel, Tableau, and Power BI. With this certification, you demonstrate your ability to generate meaningful insights from raw data and contribute to data-backed decision-making across various sectors. Whether you're aiming for roles in analytics, business intelligence, or data science, this qualification gives you a strong competitive advantage.

    • Proven Expertise
    • Career Advancement
    • Greater Employability
    • Skill Development
    Certainly! Earning a certification proves your capability in data analytics and sets you apart from the competition. It opens doors to better job opportunities and helps you stand out in today’s competitive hiring environment.
    A basic understanding of data handling, Excel, and statistics is helpful. Some certifications are designed for beginners, while others may require experience with Python, SQL, or BI tools.

    Yes, you can choose certifications based on your experience and goals, such as:

    • Data Analytics Associate
    • Business Intelligence Specialist
    • Certified Professional Data Analyst
    • Advanced Analytics & Machine Learning Expert
    • Data Analyst
    • Business Analyst
    • BI Developer
    • Reporting Analyst
    • Market Research Analyst
    • Junior Data Scientist

    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

    Gain Industry Insights From Our Data Analytics Training Experts

    • Our Data Analytics Trainers are accomplished professionals with certifications and in-depth experience working on live analytics projects across various industries.
    • They bring with them practical knowledge from global giants like Google, Amazon, Deloitte, IBM, and Microsoft, offering real-time case studies, proven strategies, and hands-on problem-solving approaches.
    • Focused on effective learning, our trainers create an engaging and supportive environment that accommodates diverse learning styles, helping every student master essential analytics concepts.
    • They break down advanced topics like statistical modeling, data visualization, and data structuring into easy-to-understand lessons that can be applied in real business scenarios.
    • Our training materials are regularly updated with current trends, tools, and technologies such as Python, SQL, Power BI, Tableau, and Excel, equipping learners with the latest skillsets in demand.
    • With a practical learning approach, trainers guide students through real-world projects and exercises, enabling them to interpret data effectively and present meaningful insights.
    • Dedicated mentorship, personalized feedback, and career support are key elements of our training, helping learners confidently progress into roles like Data Analyst, BI Specialist, or Data Scientist.

    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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