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Data Analytics Course Online

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  • Training for Both Beginners and Experts.
  • Over 12654+ Students Trained and 312+ Recruiting Clients.
  • Get Industry-Focused Training With Job Placement Assistance.
  • Delivered by a Certified Data Analytics Expert With 11+ Years of Experience.
  • We Offer Lifetime Access to Materials, Videos, and Top MNC Interview Questions.
  • Next Data Analytics Batch to Begin This Week – Enroll Name Now!
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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

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Acquire Our Resourceful Data Analytics Training

  • Develop the expertise and knowledge required to excel in Data Analytics through our comprehensive training program.
  • Explore various aspects of Data Analytics, including statistical analysis, data visualization, machine learning, and big data.
  • Learn to work with industry-standard tools and technologies such as Python, Power BI, R, SQL, Tableau, and Apache Spark.
  • Earn a recognized certification upon successful completion of our Data Analytics training, validating your expertise in the field.
  • Interact with experienced instructors and receive personalized feedback on your Data Analytics projects during our online training sessions.
  • Receive career guidance, resume review, interview preparation, and job placement assistance to boost your career prospects in the Data Analytics field.
  • Whether you are a beginner or an experienced professional, our Data Analytics program offers a structured learning environment that promotes growth and mastery in the field of data analysis.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs


Course Objectives

  • Attaining a competitive advantage that boosts your prospects in the job market.
  • Developing expertise in statistical analysis, data visualization, and machine learning.
  • Access to real-world projects and hands-on experience.
  • Keeping up with industry trends and advancements in Data Analytics.
  • Knowledge of tools and technologies used in data analytics (e.g., SQL, Python, R)
  • Knowledge of data manipulation and analysis techniques
  • Understanding of data visualization principles
  • Educational or academic background in a relevant field
Data Analytics has a very bright future ahead of it. The need for skilled Data Analytics specialists is expected to increase as companies across sectors continue collecting and examining enormous amounts of data.
The study materials included in the Data Analytics course typically consist of comprehensive lecture notes, textbooks, online resources, video lectures, practical assignments, and access to relevant software tools.
  • Individuals develop a range of practical abilities such as data manipulation and analysis, statistical analysis, data visualization, data mining, machine learning, and predictive modeling.
  • Participants gain expertise in leveraging technologies and tools for data analysis, including Python, R, SQL, Tableau, and Power BI.
Students are frequently provided with the chance to engage in real-world projects, enabling them to apply the course concepts and techniques to practical scenarios and develop their skills and comprehension of real-world data analysis challenges.
  • Data Exploration and Visualization
  • Statistical Analysis and Probability
  • Data Cleaning and Preprocessing
  • Predictive Analytics and Machine Learning
  • Text Mining and Natural Language Processing
  • Data Visualization Tools and Techniques

Is pursuing a career in Data Analytics a good option?

Yes, working in Data Analytics is a wonderful career choice. There is a great demand in the industry for professionals who can comprehend and evaluate statistics to support business insights and decision-making. Data Analytics provides great employment options, good pay, and opportunities for development.

How important is Data Analytics in today's job market?

Data Analytics is essential in today's job market as organizations increasingly rely on data-driven insights for decision-making. Proficiency in Data Analytics can significantly enhance career prospects and open up diverse job opportunities across industries.

Which industries require professionals with Data Analytics skills?

  • Finance and Banking
  • Marketing and Advertising
  • Technology and Software Development
  • Media and Entertainment
  • Education and Research

What tools are used in the field of Data Analytics?

  • Tableau
  • Power BI
  • Excel
  • Hadoop
  • TensorFlow
  • PyTorch
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An Overview of Data Analytics Tutorial

The Data Analytics Tutorial Course offers a comprehensive learning experience for individuals aspiring to enter or enhance their skills in Data Analytics. It covers data manipulation, statistical analysis, data visualization, predictive modeling, and machine learning. Participants learn to extract, clean, and transform data using programming languages like Python and R, explore statistical techniques, and create interactive dashboards. They also learn predictive modeling and machine learning algorithms, gain proficiency in popular libraries and frameworks, and evaluate model performance. The course provides practical experience, enabling participants to apply knowledge, develop problem-solving skills, and build a strong portfolio of projects. With the increasing demand for skilled data analysts, enrolling in the course is a step toward building a successful career in the thriving field of Data Analytics.

Additional Info

Data Analytics - Essential Prerequisites and Requirements

Before starting your Data Analytics course journey, it is important to be aware of the key prerequisites and requirements. Here is a comprehensive guide to help you understand what you need to know before starting your Data Analytics course program:

  • Strong Analytical Skills: Data Analytics involves interpreting and analyzing complex data sets. It is crucial to have a solid foundation in analytical thinking and problem-solving.
  • Proficiency in Statistics and Mathematics: A good understanding of statistical concepts, probability theory, and mathematical principles is essential for effective data analysis and interpretation.
  • Programming Knowledge: Familiarity with programming languages like Python, R, or SQL is highly beneficial in Data Analytics. These languages are commonly used for data manipulation, analysis, and visualization.
  • Database Concepts: Understanding the fundamentals of database management systems and SQL queries is important for extracting, transforming, and loading data for analysis.
  • Data Visualization Skills: The ability to visually represent data and communicate insights effectively is critical in Data Analytics. Proficiency in tools like Tableau, Power BI, or matplotlib can greatly enhance your data visualization capabilities.
  • Domain Knowledge: Having domain knowledge in the industry or field you wish to work in can provide valuable context to your data analysis and enable you to extract meaningful insights.
  • Continuous Learning: Data Analytics is a dynamic and ever-changing field. It is critical to have a passion for learning and to keep aware of the most recent technologies, strategies, and trends in the field.

The Latest Frameworks in Data Analytics

Discover the most recent frameworks used by Data Analytics experts to maximize the value of data insights.

  • Apache Hadoop: An open-source system that permits the distributed analysis of large datasets across computer clusters. For storing and processing huge amounts of data, it offers a scalable and trustworthy platform.
  • Apache Spark: A powerful, all-purpose cluster computing system that supports in-memory data processing. It facilitates real-time Data Analytics and supports a variety of data processing activities, such as machine learning and graph processing.
  • TensorFlow: A Google-developed open-source machine learning framework. Deep learning techniques and neural networks are supported by TensorFlow's extensive ecosystem for developing and deploying machine learning models.
  • PyTorch: Popular deep learning framework with a user-friendly UI and dynamic computational graphs. Deep learning models are frequently trained and deployed using PyTorch, which has grown significantly in popularity among researchers.
  • Apache Kafka: A distributed streaming platform that enables real-time data streaming and processing. Kafka is commonly used for building data pipelines, ingesting, and processing large volumes of data in real time.
  • Apache Flink: A framework for stream processing that allows for batch and real-time data processing. Flink is appropriate for large-scale event-driven applications since it has low latency and fault-tolerant processing capabilities.
  • Apache Airflow: A system for automating the creation, management, and monitoring of workflows. By enabling the construction of data pipelines, Airflow facilitates the automation and management of challenging data processing operations.
  • Dask: A flexible parallel computing library that integrates well with popular Python data science tools. Dask enables scalable data analysis and machine learning workflows by providing parallel computing capabilities.
  • Apache Druid: A high-performance, columnar-store, distributed data store that is optimized for real-time analytics. Druid is designed to handle large volumes of streaming and batch data and provides sub-second query response times.
  • Apache Beam: An open-source unified programming model for both batch and streaming data processing. Beam allows for the writing of data processing pipelines that can be executed on different processing engines, such as Apache Flink, Apache Spark, or Google Cloud Dataflow.

The Newest Innovations and Emerging Trends in Data Analytics

Some of the newest innovations and emerging trends in Data Analytics include:

Artificial Intelligence (AI) and Machine Learning (ML): AI and ML techniques are being integrated into Data Analytics workflows, enabling automated data processing, predictive analytics, and intelligent decision-making.

Big Data Analytics: With the exponential growth of data, organizations are adopting advanced techniques and tools to analyze vast amounts of structured and unstructured data, uncovering hidden patterns and trends.

Cloud-Based Analytics: Cloud computing has transformed the Data Analytics landscape by providing scalable infrastructure, real-time data processing, and on-demand analytics capabilities.

Natural Language Processing (NLP): NLP technologies are enabling computers to understand, interpret, and generate human language, allowing for advanced text analytics and sentiment analysis.

Real-time Analytics: Organizations are increasingly adopting real-time analytics solutions to process and analyze data as it is generated, enabling immediate insights and faster decision-making.

Data Visualization and Storytelling: By employing data visualization tools and techniques, complex data can be transformed into visually engaging representations that facilitate effective communication of insights and support data-driven storytelling.

Internet of Things (IoT) Analytics: The proliferation of connected devices and sensors is generating massive amounts of data. IoT analytics involves extracting valuable insights from this data to optimize operations, improve efficiency, and drive innovation.

Edge Analytics: Edge analytics brings data processing and analysis closer to the source, reducing latency and enabling real-time insights in edge computing environments.

Prescriptive Analytics: Going beyond descriptive and predictive analytics, prescriptive analytics leverages advanced algorithms to provide recommendations and optimize decision-making processes.

Privacy and Ethics in Data Analytics: As data privacy concerns grow, organizations are focusing on ethical data practices, transparency, and compliance with regulations to ensure responsible and secure Data Analytics.

    Responsibilities and Duties of a Data Analytics Professional

    As a Data Analytics Professional, your key roles and responsibilities include:

    • Data Collection and Preparation: Gathering relevant data from various sources and ensuring its quality, accuracy, and completeness. This involves data cleansing, transformation, and integration to make it suitable for analysis.
    • Data Analysis and Interpretation: Applying statistical and analytical techniques to uncover patterns, trends, and insights from the data. This includes performing descriptive, diagnostic, predictive, and prescriptive analytics to derive actionable insights.
    • Data Visualization and Reporting: Presenting analysis results in a clear and visually appealing manner using data visualization tools and techniques. Creating reports and dashboards that effectively communicate findings to stakeholders.
    • Predictive Modeling and Machine Learning: Developing predictive models and implementing machine learning algorithms to make accurate predictions and generate data-driven recommendations. Applying advanced analytics techniques to improve business outcomes.
    • Data Governance and Compliance: Ensuring data security, privacy, and compliance with relevant regulations and policies. Implementing data governance practices to maintain data integrity and protect sensitive information.
    • Collaboration and Communication: Collaborating with cross-functional teams, stakeholders, and domain experts to understand business requirements and align analytics initiatives with organizational goals. Effectively communicating complex technical concepts and analysis results to non-technical audiences.

    Exploring the Future Potential of Data Analytics

    Data Analytics holds immense potential across various industries, as organizations increasingly recognize its value in insights, informed decisions, and driving business growth. The demand for talented Data Analytics professionals is steadily increasing, particularly in the fields of artificial intelligence (AI) and machine learning (ML). Developing AI models requires the crucial skill of analyzing and interpreting large volumes of data, training algorithms for predictive analytics, anomaly detection, and automation. Big Data Analytics, driven by the proliferation of IoT devices, social media platforms, and online transactions, is another area of growth. Organizations are leveraging big Data Analytics to extract valuable insights, optimize operations, and gain a competitive edge in the market. With the ever-increasing importance of data processing and analysis, the field of Data Analytics, along with Power BI, presents a wide range of exciting career prospects for individuals who possess the necessary skills and expertise.

    As more industries recognize the value of data-driven insights, the demand for skilled Data Analytics professionals will grow. The future of Data Analytics lies in predictive and prescriptive analytics, utilizing historical data, statistical models, and advanced algorithms to forecast trends, identify patterns, and make proactive decisions. This enables businesses to anticipate customer needs, optimize operations, and mitigate risks, shaping the future of organizations across sectors.

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    Key Features

    ACTE 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) Singapore.

    Syllabus of Data Analytics Course Online

    Module 1: Data wrangling with SQL
    • Introduction to SQL
    • Database normalization
    • Entity-relationship model
    • SQL operators
    • Join, tables, and variables
    • SQL functions
    • Subqueries
    • SQL functions, views, and stored procedures
    • User-defined functions
    • SQL performance and optimization
    • Advanced concepts
    Module 2: Presto
    • Introduction to Presto
    • Writing Queries in Presto on Large Data Sets
    • Data Transformation using Presto
    Module 3: Introduction to Data Science and Statistics
    • Descriptive Statistics
    • Introduction to Probability
    • Probability Distributions
    • Hypothesis Testing and Estimation
    • Goodness of Fit
    Module 4: Business Problem Solving, Insights and Storytelling
    • Business domains
    • Understanding the business problem and formulating hypotheses
    • Exploratory data analysis
    • Data storytelling: Narrate stories in a memorable way
    • Project on deriving business insights and storytelling
    Module 5: Optimization Techniques
    • Linear programming
    • Goal programming
    • Integer programming
    • Mixed integer programming
    • Distribution and network models
    Module 6: KNIME
    • Introduction to KNIME
    • Working with data in KNIME
    • Loops in KNIME
    • Webscraping in KNIME
    • Hyperparameter optimization in KNIME
    • Hyperparameter optimization for Machine Learning Models using loops in KNIME
    • Feature Selection in KNIME
    Module 7: Statistics and Machine Learning using R Programming
    • Programming with R
    • Advance Statistics
    • Data Mining
    Module 8: Predictive Modeling
    • Multiple linear regression
    • Logistic regression
    • Linear discriminant analysis
    Module 9: Time-Series Forecasting
    • Introduction to time-series
    • Correlation
    • Forecasting
    • Autoregressive models
    Module 10: Feature Engineering
    • Handling unstructured data
    • Machine Learning algorithms
    • Bias variance trade-off
    • Handling unbalanced data
    • Boosting
    • Model validation
    Module 11: Advance Machine Learning Techniques
    • Hyper parameter optimization
    • Advance Machine Learning Libraries – XGBoost
    • Solving Problems on Kaggle
    Module 12: Data Science Execution Strategy
    • Framework to Data Science strategy
    • Mapping Data Science with data architecture strategy
    • Executing Data Science strategy
    Module 13: Business Case Studies
    • Marketing & retail analytics
    • Social analytics
    • Logistics & supply chain
    • Financial analytics
    Module 14: Visualization using Power BI
    • Introduction to Power BI
    • Data Extraction
    • Data Transformation – Shaping & Combining Data
    • Data Modelling & DAX
    • Data Visualisation with analytics
    • Power BI Service (Cloud), Q&A, and Data Insights
    • Power BI Settings, Administration & Direct Connectivity
    • Embedded Power BI with API & Power BI
    • Power BI Advance & Power BI Premium
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    Hands-on Real Time Data Analytics Projects

    Project 1
    Healthcare Analytics project

    Analyze healthcare data to identify disease trends, and optimize healthcare operations.

    Project 2
    Financial Data Analysis Project

    Analyse financial data to make investment recommendations and predict stock prices.

    Get an Impactful Data Analytics Course With Placement

    Successful completion of training at ACTE opens doors to placement opportunities for all learners and professionals. Our comprehensive placement support has resulted in many students securing positions with renowned MNCs.

    • Our placement support includes resume building, interview preparation, and personalized job search strategies.
    • As part of our Data Analytics Course with Placement program, participants have the chance to engage in mock interviews.
    • Enrolling in our Data Analytics placement course provides participants with a solid foundation to excel in their Data Analytics careers.
    • The course offers a structured curriculum that covers industry-relevant topics and prepares participants for the demands of the job market.
    • We are dedicated to providing ongoing assistance and support to help participants excel in the challenging job search process and stand out in a competitive job market.
    • Our network comprises esteemed organizations such as HCL, Wipro, Dell, Accenture, Google, CTS, TCS, and IBM, enabling us to offer exceptional career prospects to our learners.

    Gain Our Data Analytics Certification for a Bright Career!

    A Data Analytics Certification is a valuable credential that validates your expertise in the field of Data Analytics. By earning a Data Analytics certification, you demonstrate your commitment to professional growth and staying updated with the latest industry trends. This certification enhances your career prospects by opening doors to various job opportunities in sectors such as finance, healthcare, and technology. Employers value professionals with Data Analytics certifications as they bring valuable skills and insights to drive data-informed decision-making. Additionally, a Data Analytics certification can boost your earning potential and provide a competitive edge in the job market. It also offers networking opportunities, access to a community of data professionals, and resources for continuous learning and development.

    • Certified Analytics Professional
    • Microsoft Certified: Azure Data Scientist Associate
    • SAS Certified Data Scientist
    • Google Data Analytics Professional Certificate
    • IBM Data Science Professional Certificate
    • Tableau Desktop Certified Professional
    • Fundamental knowledge of statistics, mathematics, and programming concepts are typical prerequisites
    • It could also be necessary to have proficiency with programs like Python, R, SQL, and platforms for data visualization
    A data analytics certification could significantly enhance your employment prospects by demonstrating your data analytics skills and making you a more desirable option for organisations looking for qualified individuals in this field.
    • Data Scientist
    • Business Analyst
    • Data Engineer
    • Data Visualization Specialist
    • Financial Analyst
    Having a Data Analytics certification is significant as it verifies your knowledge and skills in the field, boosts job opportunities, gives you a competitive advantage, and showcases your dedication to continuous professional growth.

    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

    Enhance Your Career With Our Data Analytics Trainer

    • Our trainers have a deep understanding of Data Analytics concepts, tools, and techniques.
    • They have a minimum of 11 years of industry experience and are currently working professionals.
    • Our Data Analytics trainers are proficient in various programming languages commonly used in data analysis, such as Python and R.
    • Our instructors are actively working with multinational corporations, which ensures that they stay up-to-date with the latest business trends.
    • With their strong analytical and problem-solving skills, our Data Analytics experts can address business challenges and make data-driven decisions.
    • Data Analytics course online provides guidance to learners, enabling them to acquire industry-relevant skills and improve their chances of rewarding career opportunities.

    Data Analytics Course Reviews

    Our ACTE Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.



    Best place to learn Data Analytics . I have done training from here. Nice experience.Gopal sirs teaching was awesome everyone can understand subject very easily compare from other institute faculties his teaching is very good. In ACTE institutes to learn Data Analytics technology I referred best to go for Gopal sirs class in ACTE Institute in Tambaram.


    Software Engineer

    I have attended Data Analytics Training organized by ACTE. The trainer was very professional with very good experience in the domain. Extensive knowledge make sure you are learning and get value from sessions. Food was very nice.


    Software Engineer

    ACTE is best institute for Data Analytics training in Velachery. The faculty explains each and every module with real time scenarios. This is the best institute for Data Analytics . Thanks a lot…


    "I would like to recommend to the learners who wants to be an expert on Data Analytics just one place i.e., ACTE. After several research with several Training Institutes I ended up with ACTE. My Data Analytics trainer was so helpful in replying, solving the issues and Explanations are clean, clear, easy to understand the concepts and it is one of the Best Training Institute for Data Analytics Training"


    Software Testing

    I joined in ACTE omr for Data Analytics course here without any basic knowledge on Big Data concepts.Now i can say this is the Best Data Analytics training institute in chennai. Here the trainers provide you complete knowledge on each course with Real- time scenarios, project, case studies, Interview questions and all possible ways to make you a successful Professional.

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    Data Analytics Course FAQs

    Looking for better Discount Price?

    Call now: +91 93833 99991 and know the exciting offers available for you!
    • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
    • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
    • More than 3500+ students placed in last year in India & Globally
    • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
    • 85% percent placement record
    • Our Placement Cell support you till you get placed in better MNC
    • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
      ACTE Gives Certificate For Completing A Course
    • Certification is Accredited by all major Global Companies
    • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
    • The entire Data Analytics training has been built around Real Time Implementation
    • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
    • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
    All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
    No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
    We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

    Why Should I Learn Data Analytics Course At ACTE?

    • Data Analytics Course in ACTE is designed & conducted by Data Analytics experts with 10+ years of experience in the Data Analytics domain
    • Only institution in India with the right blend of theory & practical sessions
    • In-depth Course coverage for 60+ Hours
    • More than 50,000+ students trust ACTE
    • Affordable fees keeping students and IT working professionals in mind
    • Course timings designed to suit working professionals and students
    • Interview tips and training
    • Resume building support
    • Real-time projects and case studies
    Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
    You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
    We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
    We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Data Analytics batch to 5 or 6 members
    Our courseware is designed to give a hands-on approach to the students in Data Analytics . The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
    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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