Data Analytics Training In Chennai | Placement Support ⭐ | Updated 2025
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Data Analytics Course in Chennai

22369 Ratings

Rated #1 Recoginized as the No.1 Institute for Data Analytics Training in Chennai

Learn data analytics with ACTE Academy’s certification course, regarded as the top data analytics institute in Chennai. ACTE Technologies offers an extensive course taught by skilled instructors.

Your profession in data analytics can be enhanced with this industry-designed program in Chennai. Experts from leading international firms developed our data analytics training and placement to help aspiring professionals land the best jobs in top companies worldwide and accelerate their careers.

  • The Most Popular Data Analytics Course in Chennai.
  • The Best Curriculum With 100% Placement at Affordable Prices.
  • More Than 11462+ Trained Learners and 350+ Employing Clients.
  • Join Our Data Analytics training in Chennai and Develope Your Skills.
  • Take Advantage of Unlimited Interview Possibilities with Leading MNCs.
  • Learn from Certified Data Analytics Experts With Over a Decade of Experience.
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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 the Best Practices with Our Data Analytics Course

  • The first section of our course covers essential ideas in data analysis, such as data types, data structures, and basic statistical approaches. This foundation will help us understand more difficult topics later on.
  • Completing this course certifies your understanding of data analysis methodologies, tools, and strategies. It enhances career chances in fields such as data science, business intelligence, and decision-making.
  • Because of the increasing volume and complexity of data, our data analytics course includes big data handling technologies such as Hadoop, Spark, and distributed computing frameworks.
  • We assist students in finding employment when they have completed this course. This includes interview preparation, résumé creation, and job placement assistance through industry collaborations.
  • Real-world data sets are used in our data analytics course to complete practical projects. This hands-on learning experience improves problem-solving skills and provides an awareness of data difficulties across several areas.
  • Seasoned individuals with relevant industry expertise and a thorough understanding of data analytics often teach this course. Many of our trainees hold graduate degrees in data science, computer science, and statistics.
  • Data Analytics Course graduates can pursue careers in marketing, e-commerce, finance, and healthcare. Possible job titles include data scientists, business analysts, data analysts, and analytics consultants.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

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+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

24-Mar-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

26-Mar-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

22-Mar-2025
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

23-Mar-2025
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

    Hear it from our Graduate

    Common Data Analytics Techniques Used in This Course

    Course Objectives

    • Statistical analysis
    • Data Cleaning and Preprocessing
    • Data Visualization
    • Advanced Analytics Techniques
    • Big Data Technologies
    • Topics covered include database management
    • SQL
    • Machine learning basics
    Yes, because data analytics is in high demand across sectors, it is a well-paid position. Programming, statistics, and data analysis professionals may command high salaries, especially in areas such as e-commerce, banking, technology, and healthcare, where data-driven choices are critical to success.
    • R
    • Python
    • MATLAB
    • Scala
    • Julia
    • SQL
    Enrolling in a Data Analytics training is recommended because it equips workers with the skills needed to extract insights from data, which aids decision-making processes in a range of sectors. In today's data-driven environment, being skilled at data manipulation, analysis, and visualization is critical for job growth.
    • Creating intelligent visuals
    • Implementing and evaluating machine learning models for classification and predictive analytics
    • Real-World Datasets
    • Creating dynamic dashboards to highlight analytical results and insights
    The complexity of learning data analytics can vary based on a person's background, level of commitment, and available resources. Although mastery may take some time due to the breadth of topics, such as statistics, programming, and domain knowledge, it is possible with dedication and appropriate guidance. However, a plethora of resources such as tutorials and online courses make it accessible to novices.
    • KNIME
    • Apache Hadoop
    • Apache Spark
    • Tableau
    • SAS
    • Power BI

    Will Data Analytics Trends Drive IT in the Future?

    Yes, future advances in data analytics will significantly impact the IT business. As data grows exponentially, businesses will increasingly rely on analytics to gain insights, improve operations, and make data-driven choices, resulting in a high need for competent professionals in this industry.

    What criteria must be satisfied before enrolling in a Data Analytics training?

    • Basic computer skills
    • Experience with programming languages
    • Understanding of basic mathematical concepts
    • Knowledge of data structures, data kinds, and data manipulation techniques

    How about professional progression after completing a Data Analytics training?

    After completion of a data analytics training, professionals can further their careers by working as data scientists, business analysts, analytics consultants, or analysts. They can anticipate prospects for higher income, professional growth, and the ability to make major contributions to businesses via data-driven insights and decision-making.

    What are the advantages of earning a Data Analytics training?

    • Career Advancement
    • Industry Recognition
    • Prospective Pay Skill Validation
    • Personal Development
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    An Overview of Data Analytics

    Data analytics is a multifaceted process of dissecting raw data to extract meaningful insights crucial for informed decision-making. It employs various techniques like statistical analysis, machine learning algorithms, and data visualization tools to delve into datasets, uncovering patterns, trends, and relationships. By scrutinizing these data points, businesses and organizations can streamline operations, improve performance, pinpoint opportunities, and mitigate risks with concrete evidence. This approach empowers decision-makers to adopt data-driven strategies, fostering innovation, efficiency, and a competitive edge in today's dynamic landscape.

     

    Additional Info

    Future Trends Of Data Analytics

    • AI and Machine Learning Integration: Artificial intelligence (AI) and machine learning (ML) algorithms are increasingly being integrated into data analytics workflows to automate operations, improve predictive capabilities, and reveal deeper insights from data.
    • Real-time Analytics: Real-time analytics refers to technological advancements that enable real-time processing and analysis of data streams, allowing companies to make rapid choices and adapt to changes quickly.
    • Edge Analytics: Edge computing is becoming more widely used for data analysis. It allows enterprises to analyze data closer to the source, lowering latency and increasing efficiency, particularly in IoT (Internet of Things) and sensor-based applications.
    • Augmented Analytics: Continued development of augmented analytics solutions that employ AI and natural language processing (NLP) to allow individuals of various technical backgrounds to access and evaluate data easily.
    • Data Privacy and Ethics: There is a growing emphasis on data privacy rules and ethical issues in data analytics, which has led to the development of privacy-preserving approaches and frameworks for responsible data use.
    • Hybrid and Multi-cloud Analytics: As hybrid and multi-cloud settings become more common, analytics solutions that can seamlessly integrate and analyze data across numerous cloud platforms and on-premises infrastructure are required.
    • Advanced Data Visualization: Advanced Data Visualization is the evolution of data visualization techniques and technologies to effectively communicate complex insights, allowing stakeholders to analyze and act on data more intuitively.
    • Predictive and Prescriptive Analytics: Advancements in predictive and prescriptive analytics skills allow firms to foresee future trends, discover opportunities, and reduce risks proactively.

    Tools Used in Data Analytics

    • Cloud-based Analytics Services: Cloud-based analytics services such as AWS Analytics, Azure Analytics, and Google Cloud BigQuery provide scalable and cost-effective options for cloud analytics.
    • Database Management Systems: SQL-based systems such as MySQL and PostgreSQL, as well as NoSQL databases such as MongoDB and Cassandra, support data storage and retrieval.
    • Text Analytics Tools: Natural Language Processing (NLP) libraries like as NLTK and spaCy help analyze and extract insights from text data.
    • Data Preparation and Cleaning Tools: OpenRefine, Trifacta, and Dataiku help to clean and preprocess raw data for analysis.
    • Cloud-based Analytics Services: AWS Analytics, Azure Analytics, and Google Cloud BigQuery provide scalable and cost-effective analytics solutions in the cloud.
    • Database Management Systems: SQL-based systems such as MySQL and PostgreSQL, as well as NoSQL databases such as MongoDB and Cassandra, provide data storage and retrieval.
    • Text Analytics Tools: Natural Language Processing (NLP) packages like NLTK and spaCy help analyze and extract insights from textual data.
    • Data Preparation and Cleaning Tools: OpenRefine, Trifacta, and Dataiku help to clean and preprocess raw data before analysis.

    Job Opportunities for Certified Data Analytics Professionals

    • Data Analyst: Collects, processes, and analyzes data to find trends, patterns, and insights that guide business choices.
    • Company Analyst: Analyzes data to understand company operations better, find areas for improvement, and offer strategic recommendations to boost performance and efficiency.
    • Data Scientist: Uses sophisticated analytics techniques such as machine learning and predictive modeling to solve difficult business challenges and inform decision-making.
    • Business Intelligence Developer: Creates data visualizations, dashboards, and reports to help communicate insights and make data-driven decisions.
    • Data Engineers: Data Engineers design and manage data pipelines and infrastructure to guarantee that data is collected, stored, and processed efficiently for analysis.
    • Data Architect: Develops and executes data management systems, such as databases and data warehouses, to help the organization's data analytics activities.
    • Data Analyst Manager/Lead: Oversees a team of data analysts and ensures that stakeholders receive high-quality insights and reports.
    • Data Analytics Consultant: Offers strategic advice and expertise to firms on how to use data analytics to accomplish business goals.
    • Healthcare Data Analyst: Examines healthcare data to enhance patient outcomes, optimize healthcare delivery, and cut costs within healthcare companies.
    • Financial analysts: Financial analysts use data analytics tools to examine financial data, assess risk, and uncover investment possibilities for financial organizations.
    • Marketing Analysts: Marketing Analysts analyze marketing data to determine campaign success, identify consumer categories, and improve marketing tactics to increase customer engagement and revenues.
    • Supply chain analyst: A supply chain analyst uses data analytics to optimize supply chain operations, improve inventory management, and increase logistics efficiency for industrial and retail firms.
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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 of Data Analytics Course in Chennai
    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?

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

    Project 1
    Fraud Detection

    In this project, students develop algorithms to detect suspicious patterns in financial transactions, helping to prevent fraudulent activities.

    Project 2
    Churn Prediction

    Build models to predict which customers are at risk of canceling their subscriptions, allowing businesses to implement retention strategies.

    Acquire Our Best Data Analytics Placement Program

    • Our Data Analytics placement support program typically begins with assisting clients in improving their resumes to showcase relevant training, experience, and skills in data analytics.
    • Interview preparation is an important aspect of our placement aid program. It includes practice questions, answers to frequently asked questions, and strategies for successfully showing data analytics skills.
    • Individualized career counseling is available to assist with goal definition, employment opportunity discovery, and the development of unique data analytics career plans.
    • Placements with huge international firms are now feasible because of our students' strong contacts with reputable companies like Google, Microsoft, Uber, LinkedIn, Salesforce, Netflix, and IBM.
    • Our Data Analytics placement program provides training to improve data analytics abilities, such as machine learning, statistics, data visualization, and Python and R programming, hence increasing employability.
    • Our placement help program involves organizing networking events, introducing participants to alums or business people, and providing resources for building a professional network.

    Get Advanced Data Analytics Certification

    Our data analytics certification validates your ability to evaluate, understand, and draw inferences from data to inform business decisions. It covers skills such as programming, machine learning, data visualization, and statistical analysis. Hands-on education, examinations, and real-world projects are common components of certification programs that demonstrate proficiency. Certification increases one's employability and job opportunities in the fast-growing data analytics field.

    A data analytics certification will help you develop your career by demonstrating your expertise in the subject, giving you greater credibility with employers, opening up additional work prospects, and increasing your salary. Certified experts are in great demand in today's data-driven world because of their ability to leverage data analysis to support well-informed business choices.
    Unquestionably, a data analytics certification improves your work possibilities. Employers frequently favor applicants with certified data analysis abilities, which increases your chances of landing jobs in data-driven industries like marketing, technology, healthcare, finance, and advertising.
    • Data Analyst
    • Data Scientist
    • Big Data Engineer
    • Data Engineer
    • Machine Learning Engineer
    • Big Data Analytics Certification
    • Business Intelligence (BI) Certification
    • Data Science Certification
    • Data Engineering Certification
    The amount of time required to get a data analytics certification varies depending on the program and the candidate's prior knowledge and experience. Certification courses often take a few weeks to many months to complete; however, some extreme boot camps provide faster choices.

    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 Training With Our Experienced Data Analytics Instructors

    • Our instructors excels in a variety of disciplines, including statistical analysis, data visualization, machine learning, and programming languages such as Python and R.
    • They employ a range of instructional methodologies, including lectures, practical exercises, case studies, and real-world projects, to help students learn and apply data analytics ideas.
    • Because they work for big organizations like Google, Microsoft, Netflix, Amazon, and Uber, all of our data analytics instructors bring extensive real-world expertise to the classroom.
    • Our instructors not only teaches technical skills but also gives students professional advice and direction to help them explore employment prospects, create a great CV, and prepare for data analytics interviews.
    • Our Data Analytics Course in Chennai has real-world expertise in the sector, allowing them to share practical information, examples, and best practices with their students.
    • Our data analytics instructors offer personalized advice and support throughout the learning process, tailoring their teaching style to each student's specific goals and skill levels.
    • Data analytics instructors ensure that they give current and relevant education by remaining up to speed on the latest trends, tools, and approaches in the industry through continual professional development and learning.

    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 supports 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 Interview
    • Group Discussion
    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.
    • Basic Understanding of Mathematics and Statistics
    • Knowledge of Excel
    • Familiarity with Databases
    • Understanding of Business Processes
    • Basic Programming Knowledge
    Indeed, many training programs involve working on actual projects. This hands-on experience helps learners develop concrete skills, enhancing their employability 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 projects, certification, job placement assistance, 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. It includes 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, thanks to the availability of many resources and user-friendly tools in the online space. The basic concepts are mathematically and statistically based, logical, and can be learned quickly with practical knowledge. Many platforms also offer hands-on exercises and real-world projects where you can practically apply the knowledge acquired.
    • Data Collection
    • Data Cleaning
    • Data Analysis
    • Data Visualization
    Yes, Data Analytics is an excellent option for freshers. This field is in huge demand worldwide across different industries, and with an increasing focus on data-driven decisions, career opportunities are vast. With innumerable online courses, certifications, and resource availability, freshers can easily build the skills needed to excel at it.
    The most common application of Data Analytics is aiding data-driven decisions across industries. Business processes can be optimized, customer experience improved, and strategies refined. In marketing, healthcare, and finance, data analytics gives valuable insights into better decision-making and risk management, in addition to optimizing resource distribution.
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