Data Analytics Course in Coimbatore With Job Support (Top Rated⭐) | Updated 2025
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Data Analytics Course in Coimbatore

5988 Ratings

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

ACTE Institute, which provides data analytics certificate programs and skills, is regarded as the top data analytics institute in Coimbatore.

You can advance your career by enrolling in this industry-driven and earning a data analytics certification. Our Coimbatore data analytics training programs are developed by experts from top international companies to help aspiring professionals achieve the best positions in the most prestigious companies.

  • The city’s top certificate programs in data analytics.
  • Over 350+ Employing Clients and over 11462+ Trained Learners.
  • The best course of study at a reasonable cost with 100% placement.
  • Benefit from countless interview possibilities with international companies.
  • Gain knowledge from professionals with over10+ years of experience in data analytics.
  • To get your online data analytics certificate in Coimbatore as soon as possible, take part in interactive sessions

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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

Sign Up In Our Data Analytics Training to Learn the Best Practices

  • Our data analytics training emphasizes hands-on learning, allowing students to apply theoretical concepts to real-world scenarios, ensuring practical competence.
  • Our curriculum prioritizes practical exercises and real-world projects, enabling students to build a robust portfolio of work that showcases their analytical prowess.
  • Whether you're taking your first steps into data analytics or aiming to refine advanced skills, our training cater to learners at all proficiency levels.
  • Because of the increasing volume and complexity of data, our data analytics training covers big data handling technologies like Hadoop, Spark, and distributed computing frameworks.
  • With flexible training offerings and personalized learning paths, we ensure that every student receives tailored instruction suited to their individual goals and learning pace.
  • Real-world data sets are used for practical tasks in our data analytics training. This practical learning experience fosters problem-solving skills and provides insight into data difficulties across multiple areas.
  • Stay ahead of the curve with our training, designed to impart industry-leading practices and cutting-edge techniques that drive success in today's data-driven world.
  • 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

13-Jan-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

15-Jan-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

11-Jan-2025
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

12-Jan-2025
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

    Hear it from our Graduate

    Ignite Your Learning: Uncover Vital Data Analytics Skills in this Course

    Course Objectives

    Our Data Analytics Certification program offers a comprehensive curriculum designed to equip participants with the essential skills and knowledge required for success in the rapidly evolving field of data analytics.
    • In-demand skills
    • Competitive advantage
    • Personal development
    • Professional growth
    • Career opportunities
    • Tableau
    • SAS
    • Hadoop
    • PostgreSQL
    • BeautifulSoup
    • TensorFlow
    • Pandas
    • Predictive Analytics
    • Data Wrangling
    • Data Visualization
    • Machine Learning
    • Data Mining
    • Business Intelligence (BI)
    • Statistical Analysis
    The level of difficulty in data analytics can vary based on complexity and experience. While learning descriptive analytics and other essential tasks is relatively easy, mastering predictive and prescriptive analytics is more complex and requires knowledge of programming, statistics, and advanced analytical techniques. This makes it moderately tricky for beginners and more difficult for advanced applications.
    • Python
    • R
    • Scala
    • Java
    • SQL (Structured Query Language)
    Absolutely, a Data Analytics Course can significantly enhance your prospects in today's data-driven world. With the exponential growth of data across industries, the demand for skilled data analysts and data scientists continues to rise.

    Can a beginner learn data analytics from scratch with the help of this course?

    Yes, a well-designed course can assist beginners in learning the subject from the ground up by covering the basic concepts, tools, and techniques of data analytics. With well-organized classes, practical exercises, and real-world examples, beginners will acquire the abilities and information needed to embark confidently on their data analytics journey.

    What are the Prerequisites for Enrolling in the Data Analytics Course

    The prerequisites for enrolling in the Data Analytics Certification Program are minimal, making it accessible to a wide range of individuals. While prior experience in data analytics or programming is beneficial, it is not mandatory. Participants should have a basic understanding of statistics and mathematics, as well as proficiency in using computers and software applications.

    What kind of practical training can you anticipate from a Data Analytics course?

    • Data manipulation and cleaning
    • Working with real-world datasets
    • Visualization of data
    • Machine learning algorithms for predictive modeling
    • Hypothesis testing and regression analysis

    Is Data Analytics a high-paying job?

    Indeed, working in data analytics pays well because there is a growing need for experts who can examine and extract meaning from big data sets. Experience, geography, and industry all affect pay, with seasoned analysts making significant salaries in many areas.
    Show More

    An Overview of Data Analytics

    Large datasets must be gathered, processed, and analyzed in data analytics in order to yield insightful information and support decision-making based on facts. It includes a range of methods and resources, such as data mining, statistical analysis, machine learning, and visualization. Companies use data analytics to gain a competitive edge, optimize operations, and comprehend customer behavior. It is essential to many industries, including marketing, e-commerce, healthcare, and finance. Experts in data analytics require proficiency with data manipulation tools like SQL and Excel, familiarity with data visualization tools like Tableau or Power BI, and programming languages like Python or R. As technology and methodology continue to advance, the field offers a wealth of opportunities for individuals skilled at extracting insights from data.

     

    Additional Info

    Explore the Future Trends and Innovations in Data Analytics

    • Artificial Intelligence and Machine Learning Integration: Automating data processing and analysis through the use of AI and ML will lead to more precise predictions and valuable insights.
    • Real-Time Analytics: Improved real-time data processing and analysis capabilities that enable businesses to act fast in response to changing circumstances and make decisions instantly.
    • Edge Computing: Relocating data processing to the Internet of Things (IoT) devices, where it can be processed more quickly and with lower latency and bandwidth consumption.
    • Augmented Analytics: Automation of data preparation, insight creation, and visualization through artificial intelligence (AI), opening up advanced analytics to a broader range of users with different levels of technical proficiency.
    • Data Privacy and Security Enhancements: Create more resilient methods, such as federated learning, differential privacy, and sophisticated encryption techniques, to guarantee data security and privacy.
    • Natural Language Processing (NLP): Improved natural language processing (NLP) algorithms make better text and voice analysis and comprehension of unstructured data possible, enabling more natural data interaction and insights.
    • Predictive and Prescriptive Analytics: More sophisticated models assist organizations in optimizing their operations and strategies by not only forecasting future trends but also suggesting courses of action based on those predictions.
    • Increased Adoption of Cloud Analytics: Cloud-based analytics solutions are becoming more and more popular because they offer scalable, flexible, and affordable data processing capabilities along with improved collaboration features and more straightforward integration of various data sources.

    Important Tools Used in Data Analytics

    • Python: Python is a versatile programming language widely used for data analysis and machine learning. It offers powerful libraries such as Pandas, NumPy, and Matplotlib for data manipulation, numerical computing, and visualization.
    • R: R is a programming language and software environment specifically designed for statistical computing and graphics. It is popular among statisticians and data scientists for its extensive collection of packages for data analysis and visualization.
    • SQL: is a standard language for managing and querying relational databases. Data analysts must use SQL queries to extract, transform, and analyze data stored in databases.
    • Tableau: Tableau is a leading data visualization tool that allows users to create interactive and shareable dashboards and reports. It supports connecting to various data sources and offers intuitive drag-and-drop functionality for building visualizations.
    • Power BI: Microsoft Power BI is a business analytics tool that enables users to visualize and share insights from their data. It offers a range of data connectors, advanced analytics capabilities, and interactive visualizations for exploring and presenting data.
    • Excel: Microsoft Excel is a widely used spreadsheet software that offers basic data analysis capabilities. It is commonly used for tasks such as data cleaning, fundamental statistical analysis, and creating simple visualizations.
    • SAS: SAS (Statistical Analysis System) is a software suite used for advanced analytics, data management, and business intelligence. It offers a wide range of tools and modules for statistical analysis, predictive modeling, and data visualization.

    Future Opportunities for Qualified Data Analytics Specialists

    • Data Analyst: Certified data analytics professionals can pursue roles as data analysts responsible for collecting, processing, and analyzing data to extract valuable insights.
    • Business Analyst: Data analytics certification equips professionals with the skills needed to work as business analysts who bridge the gap between business objectives and data-driven solutions.
    • Data Scientist: Data analytics certification prepares professionals for roles as data scientists who leverage advanced statistical techniques and machine learning algorithms to uncover patterns and trends in data.
    • Business Intelligence Developer: Certified data analytics professionals can pursue careers as business intelligence developers responsible for designing and developing data-driven solutions for reporting and analytics.
    • Data Engineer: Data analytics certification provides professionals with the skills needed to work as data engineers who design, build, and maintain data pipelines and infrastructure.
    • Data Architect: Certified data analytics professionals can pursue roles as data architects responsible for designing and implementing data architecture solutions.
    • Machine Learning Engineer: Data analytics certification prepares professionals for careers as machine learning engineers who develop and deploy machine learning models to solve business problems.
    • Marketing Analyst: Certified data analytics professionals can specialize in marketing analytics, where they analyze customer behavior, market trends, and campaign performance to optimize marketing strategies and drive customer engagement and retention.
    Show More

    Key Features

    ACTE Coimbatore offers Power BI 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 of Data Analytics Course in Coimbatore
    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
    Show More
    Show Less
    Need customized curriculum?

    Gain Practical Experience with Real-Time Data Analytics Projects

    Project 1
    Sales Forecasting

    Students use time series analysis and regression models to forecast future sales by analyzing historical sales data as part of a sales forecasting project.

    Project 2
    Customer Segmentation

    Students use clustering techniques to analyze customer data and group customers based on demographics and behavior as part of a customer segmentation project.

    Join Our Great Data Analytics Placement Assistance Program Today!

    • Even after the program ends, participants can still benefit from our data analytics placement support, which includes tools and advice to help them in their job search and career advancement.
    • Our mock interviews provide participants with helpful suggestions to improve their performance and confidence by simulating actual interview situations.
    • As part of our Data Analytics placement support program, we usually help students enhance their resumes so they can highlight pertinent training, experience, and data analytics skills.
    • Through networking events, students in our data analytics placement are able to connect with professionals in the industry and showcase their skills to potential employers.
    • Take advantage of amazing job opportunities with top companies like Uber, Accenture, Deloitte, McKinsey, Oracle, Salesforce, and more, all of which ensure the future career prospects of our applicants.
    • Even after the program ends, participants can still benefit from our placement support, which includes tools and advice to help them in their job search and career advancement in data analytics.

    Achieve the Impactful Data Analytics Certification.

    Our data analytics certification attests to your ability to evaluate, interpret, and extract meaning from data for strategic business decision-making. It includes skills like statistical analysis, data visualization, machine learning, and programming. Exams, practical training, and real-world projects are all essential components of certification programs that effectively demonstrate expertise. A certification improves one's employability and leads to a plethora of work opportunities in the quickly growing field of data analytics.

    To prepare for the data analytics certification exam, go over the objectives and syllabus. Next, review pertinent textbooks, online courses, and test questions. Practical experience with data analysis tools such as Python, R, or SQL is essential. Lastly, use practice exams to evaluate your preparedness and pinpoint areas that need work.
    • Data Engineer certification
    • Tableau certification
    • Data Science certification
    • SAS Certified Data Scientist certification
    Yes, a data analytics certification improves your employability by proving your expertise and dedication to the field. It boosts your chances of landing a job because employers frequently give preference to applicants who have the necessary certifications, demonstrating their expertise in data analysis and opening up more career options.
    • Enhanced Career Prospects
    • Validation of Skills
    • Increased Employability
    • Recognition in the Industry
    • Access to Advanced Techniques and Tools
    The length of time required to obtain a Data Analytics certification varies based on the program's level of difficulty and the learner's past experience. Certain certification programs can be finished with several weeks of focused study, while others might require several months of part-time study. In general, allow a few weeks to several months for the completion of the task.

    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

    Take A Training Program With Our Professional Data Analytics Experts

    • Our training program is led by data analytics experts who excel in various disciplines, including statistical analysis, data visualization, machine learning, and programming languages like Python and R.
    • Our experts utilize diverse instructional methodologies, such as lectures, practical exercises, case studies, and real-world projects, to facilitate effective learning and application of data analytics concepts.
    • Benefit from the extensive real-world expertise of our experts, who have worked for renowned organizations like Google, Microsoft, Netflix, Amazon, and Uber, ensuring valuable insights and practical knowledge in the classroom.
    • Our experts stay current on the latest advancements, technologies, and trends in the field of Data Analytics Course in Coimbatore through continuous training and education.
    • Receive not only technical instruction but also professional guidance from our experts, who offer advice on exploring job opportunities, crafting impressive resumes, and preparing for data analytics interviews.
    • Enjoy personalized support and guidance from our data analytics experts throughout your learning journey as they tailor their teaching approach to meet individual goals and skill levels.
    • Rest assured that our experts provide up-to-date and relevant education by staying abreast of the latest trends, tools, and methodologies in the industry through continuous professional development and learning.

    Data Analytics Course FAQs

    Who are the course instructors, and how are they selected?

    All ACTE instructors are industry-experienced professionals with a minimum of 10–12 years of relevant IT experience. They are actively involved in live corporate environments, so they bring current practical industry insights to their training. Instructors are selected based on their expertise in the subject, teaching abilities, and real-world experience to ensure the highest-quality training that is directly applicable to industry demands.
    Yes, ACTE provides practice tests to help the learner assess and build his knowledge and skills in the relevant domain. These tests are useful for tracking progress and simulating real-world scenarios.
    • ACTE is a legend in offering placement to 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 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 Master Program in Data Analytics at ACTE involves training for the analysis of incomplete data, visualization, and business intelligence. This will expose the student to hands-on experience using tools such as Excel, SQL, Tableau, and Python in data analytics, interpretation, and visualization. You can create practical projects through which you can develop, extract actionable insights and formulate data-driven decisions.
    ACTE certification would show expertise in a specific domain, which can lead to significant career growth; however, its value and recognition depend upon employers' preferences, industry standards, and the relevance of this certification to specific job roles.
    • A basic understanding of mathematics and statistics
    • Knowledge of Excel
    • Familiarity with databases
    • An understanding of business processes
    • Basic programming knowledge
    Yes, 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 catch up with the recorded sessions or ask for make-up lessons. Besides, resources and training materials are supplied to help you compensate for the 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. 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 due to the availability of many resources and user-friendly tools online. Most basic concepts are mathematically or statistically based, logical, and can be learned quickly with some practical knowledge. Many also provide hands-on exercises with real-world projects where you can actually apply the knowledge acquired.
    • 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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