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

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Live Instructor LED Online Training

Learn from Certified Experts

  • Practical Experience with Data Analytics
  • Courses for both beginner and experienced students
  • Delivered by 10 Years of Data Analytics Certified Expert
  • Lifelong Access to Study Materials and the Student Portal
  • More than 410+ employers and 1236+ students received training
  • Next Data Analytics Batch Starts This Week – Enroll Your Name Now!



INR 14000


INR 22000

INR 18000

Have Queries? Ask our Experts

+91-7669 100 251

Available 24x7 for your queries

Upcoming Batches


Weekdays Regular

08:00 AM & 10:00 AM Batches

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


Weekdays Regular

08:00 AM & 10:00 AM Batches

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


Weekend Regular

(10:00 AM - 01:30 PM)

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


Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

Hear it from our Graduate

Have Cracked Their Dream Job in Top MNC Companies

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

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.
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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.
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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 and National Institute of Education (nie) Singapore.


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
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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

Are you looking for a better deal at a lower price?

Give us a call at +91 93833 99991 to see what amazing offers are waiting for you!
  • ACTE provides students with placement assistance.
  • Continuous support from the placement cell is available until employment is secured.
  • ACTE maintains relationships with over 700 MNCs for placement opportunities.
  • Access the lifetime Student Portal for job listings, study materials, videos, and interview preparation.
  • ACTE's commitment to student success is reflected in its 85%+ placement rate.
  • Validate placements by viewing the Placed Student list on the website.
ACTE is well-known for having a proven track record of assisting students in obtaining employment at prestigious multinational companies like Wipro, Dell, TCS, CTS, VMWare, SAP, Oracle, and Accenture. With over 3500 students placed overseas in the previous year and an amazing 85% placement rate, ACTE promises a wealth of resources and support for career advancement.
Yes, some practical training is included in the data analytics course. Students apply theory concepts, analyze datasets, and develop data-driven solutions with the help of case studies, practical exercises, and real-world projects. As a result, they acquire priceless experience utilizing tools and methods associated with data analytics.
All of ACTE's trainers are working professionals with between 10 and 16 years of relevant technical experience. With their training in ACTE and as subject matter experts, they can offer a great learning opportunity. Our trainers use real-world examples and their own experiences to enhance learning and ensure that students receive excellent instruction that prepares them for the workforce.
You can use ACTE to watch the classes that have been recorded if you are unable to attend in person. Through our Student Portal, you can get study materials and get in touch with the teacher for on-going advice and assistance.
The Data Analytics Course provides a variety of learning options, including self-paced learning with access to study materials and recorded sessions through the Student Portal, online classes, and classroom sessions.

Why Should I Sign Up for a Data Analytics Course at ACTE?

Enrolling in an ACTE Data Analytics course gives you access to professional training, comprehensive placement assistance, study guides, session recordings, and interview tips. Strong career opportunities and support are ensured by ACTE because of its partnerships with over 700 MNCs and over 85% placement rate.
Prospective students are welcome to visit ACTE for an orientation or trial class prior to enrolling. It allows people to engage with instructors, experience the teaching style, and assess the course material before deciding whether or not to enroll.
Yes, you will receive a course completion certificate upon finishing the course, which acts as an official acknowledgement of the data analytics knowledge and skills you have gained.
The top training provider, ACTE, has been offering top-notch instruction in a range of subjects for more than 15 years, including data analytics. As a result, it has solidified its reputation as a reliable source of information.
In order to ensure that every participant receives individualized attention and efficient learning, ACTE maintains a low student-teacher ratio with small class sizes, typically consisting of 10 to 15 students.
There are typically options for morning, afternoon, or evening classes on weekdays and weekends. The frequency of the course, the student, and the instructor's availability may all affect the schedule.
You can contact our support number at +91 93800 99996 / Directly can do by's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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