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Big Data Science Online Training

6754 Ratings

Rated #1 Recoginized as the No.1 Institute for Big Data Science Online Training

Our Big Data Science Online Training offers a comprehensive, hands-on learning experience designed to master big data technologies and data science techniques to analyze and interpret large datasets.

The training covers essential topics like Hadoop, Spark, data wrangling, data visualization, machine learning algorithms and predictive modeling. Complete the Big Data Science course and unlock exciting Big Data Science placement opportunities in data science and big data analytics.

  • Enroll in our Big Data Science Training today!
  • Join 350+ hiring companies and 13,898+ successful graduates.
  • Gain hands-on experience with real-world big data projects and tools.
  • Earn your Big Data Science certification to advance your analytics career!
  • Explore career opportunities in data science, big data analytics, and machine learning.
  • Benefit from 100% placement assistance and an affordable, industry-recognized curriculum.
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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 a Career Opportunity With Our Big Data Science Training

  • Our Big Data Science Training equips IT professionals with advanced skills for managing and analyzing large datasets using the latest technologies.
  • Participants explore key topics like Hadoop, Spark, data warehousing, machine learning, and data visualization for a deep understanding of data methodologies.
  • Big Data Science Training offers flexible learning options self-paced, instructor-led, virtual. Participants can choose the format that best suits their schedule and learning for an optimal training experience.
  • Qualified instructors provide practical, engaging experiences to help participants leverage big data for strategic decisions.
  • Big Data Science Online Training boosts credentials, enhances employability, and makes candidates highly desirable to employers.
  • We offer support with resume building, interview coaching, job placement, and networking opportunities, ensuring you are fully prepared for your career journey.
  • Completing the Big Data Science Training empowers professionals to analyze large datasets, apply advanced analytics, and drive data-driven innovation.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

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we are happy to help you 24/7

+91-7669 100 251
Other Categories Placements
  • Non-IT to IT (Career Transition) 2371+
  • Diploma Candidates3001+
  • Non-Engineering Students (Arts & Science)3419+
  • Engineering Students3571+
  • CTC Greater than 5 LPA4542+
  • Academic Percentage Less than 60%5583+
  • Career Break / Gap Students2588+
Top Placement Record

Upcoming Batches

28-Apr-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

30-Apr-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

03-May-2025
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

04-May-2025
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

    Hear it from our Graduate

    Most Job-Oriented Tools Covered in the Big Data Science Course

    Course Objectives

    • Enhanced Skill Set
    • Career Opportunities
    • Problem-Solving

    Basic knowledge of programming, statistics, and mathematics is required. Database expertise and experience with computer languages such as Python or R can be helpful. Prior study in data science or similar subjects may be required for some courses.

    • Data Scientist
    • Data Analyst
    • Big Data Engineer

    Through practical projects and case studies, the course usually provides students with first-hand experience working with real-world datasets. Acquiring expertise in industry-standard technologies and platforms such as Hadoop and Spark, students collaborate on projects that model real-world data science environments.

    • Data Management
    • Data Analysis
    • Machine Learning

    In order to excel in a Big Data Science course, you must be able to comprehend and extract meaning from complicated datasets using analytical solid thinking abilities. To handle data-related difficulties, it is imperative to have a problem-solving approach in addition to proficiency in programming languages and data science-related tools.

    With well-designed courses, beginners can actually learn Big Data Science from the ground up. A lot of applications give materials and core information to help grow skills gradually, making them suitable for beginners as well.

    • Programming Languages
    • Big Data Frameworks
    • Visualization Tools

    The growing volume of data produced calls for sophisticated analytic techniques. Organizations depend on data-driven insights to remain competitive and make informed judgments. Data-driven insights discover patterns and trends to propel developments across a range of industries.

    The growing volume of data produced calls for sophisticated analytic techniques. Organizations depend on data-driven insights to remain competitive and make informed judgments. Data-driven insights discover patterns and trends to propel developments across a range of industries.

    Because of the field's technical and analytical requirements, it cannot be easy. A strong background in data administration, programming, and statistics is needed. To facilitate learning and simplify things, there are a ton of materials and structured courses accessible.

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    An Overview Of Big Data Science

    Big data science focuses on managing and analyzing enormous and complex data sets that traditional tools cannot handle effectively. It uses a variety of methods and tools to glean insightful information from massive data sets. Key aspects include collecting data from diverse sources, such as social media and transaction logs, and storing it using scalable solutions like distributed file systems and cloud storage. Large-scale data is processed using frameworks like Apache Hadoop and Spark, while advanced analytical techniques, including machine learning and data mining, help uncover patterns and insights. Data visualization tools create interactive representations of complex information, making it more accessible.

     

    Additional Info

    Future Trends of Big Data Science

    • Technological Developments in AI and Machine Learning: AI and machine learning are becoming central to big data science.
    • Real-Time Data Analytics: There is a growing need for real-time data processing, especially in sectors like finance, healthcare, and retail.
    • Cloud Computing Integration: Cloud computing remains a significant trend, offering scalable and cost-effective solutions for managing big data.
    • Edge Computing: Instead of depending exclusively on centralized processing, edge computing processes data closer to its source.
    • Improved Data Security and Privacy: This involves employing advanced encryption techniques, secure storage solutions, and comprehensive data governance practices to abide by laws like the GDPR and safeguard sensitive data and CCPA.
    • Augmented Analytics: Augmented analytics uses artificial intelligence (AI) and machine learning to prepare data, create insights, and visualize data.
    • Blockchain for Data Integrity: Its decentralized and immutable ledger can ensure data accuracy and trustworthiness, which is valuable in areas like financial transactions, supply chain management, and regulatory compliance.
    • Advanced Data Visualization: Interactive dashboards, AR visualizations, and sophisticated graphical techniques are helping users understand and communicate data insights more effectively.

    Some of the Widely Used Big Data Science Tools

    • Apache Hadoop: It includes critical components like the Hadoop Distributed File System and MapReduce for scalable data processing.
    • Apache Spark: It features built-in modules for streaming data, SQL queries, machine learning, and graph processing.
    • Apache Flink: A framework for stream and batch data processing known for its high-throughput and low-latency capabilities.
    • Apache Kafka: A distributed streaming platform that enables the publication, consumption, and processing of real-time data streams.
    • Apache Storm: A real-time computation system designed for processing high-velocity data streams with minimal latency.
    • Cloudera: A comprehensive big data platform that provides a suite of tools, including Hadoop, Spark, tailored for enterprise environments.
    • Hortonworks Data Platform : A Hadoop distribution that includes additional data management tools, such as Apache HBase, Apache Hive, and Apache Pig, designed to streamline big data workflows.
    • Amazon EMR : A cloud-based service from AWS that simplifies the deployment of Hadoop and Spark frameworks, providing scalable and cost-effective solutions for large-scale data processing.

    Roles and Responsibilities of Big Data Science

    • Big Data Scientist: They apply advanced statistical methods, machine learning models, and data visualization techniques to detect patterns and trends within vast amounts of data.
    • Big Data Engineer:They develop scalable data pipelines, work with processing frameworks such as Hadoop and Spark, and ensure effective data storage management.
    • Big Data Architect:They create comprehensive strategies for integrating and processing large datasets, focusing on scalability, security, and efficiency.
    • Big Data Analyst: They utilize statistical tools and data visualization methods to interpret complex information and support business decisions.
    • Big Data Consultant: Big Data Consultants provide expert advice on implementing and optimizing big data solutions for businesses.
    • Big Data Project Manager: Big Data Project Managers oversee the planning, execution, and completion of data projects.
    • Big Data Quality Assurance Analyst: QA Analysts ensure the accuracy and quality of extensive data systems and processes.
    • Big Data Trainer: Trainers are responsible for educating individuals and teams on big data technologies and methodologies.
    • Big Data Support Specialist: Support Specialists provide technical assistance for extensive data systems and tools.

    Benefits of Big Data Science Training

    • Advanced Data Analysis Expertise: Big Data Science training provides a thorough understanding of analyzing and interpreting vast datasets, utilizing advanced algorithms and tools to reveal insights and patterns that inform strategic decisions.
    • Broadened Career Paths: Mastery of Big Data Science opens up various job opportunities, including roles such as Data Scientist, Data Engineer, and Big Data Analyst, enhancing career prospects and flexibility.
    • Enhanced Data Management Efficiency: Training equips individuals with the ability to manage and process large data volumes efficiently, utilizing sophisticated tools and techniques to streamline data handling and improve precision.
    • Accurate Data Insights: With Big Data Science training, professionals gain the ability to apply analytical approaches and machine learning strategies to glean insightful information from complex datasets.
    • Improved Data Integration: Training includes skills for integrating data from multiple sources, providing a holistic view, and enabling more accurate and reliable analyses.
    • Compliance and Security Expertise: The training covers data privacy regulations and security best practices, ensuring data handling is compliant with legal standards and safeguarded against unauthorized access.
    • Cost Efficiency: Proficiency in Big Data Science allows for optimization of data processes and reduces the need for external consultants, leading to cost savings and more effective resource management.
    • Boosted Analytical Productivity: Effective use of advanced Big Data tools and techniques enhances productivity by automating data processing tasks and accelerating analysis.
    • Career Growth: Big Data Science training enriches a resume with a sought-after skill set, facilitating career advancement and enabling professionals to move into more senior roles within the data science domain.
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    Key Features

    ACTE offers Big Data Science Training in more than 27+ branches with expert trainers. Here are the key features,
    • 40 Hours Course Duration
    • 100% Job Oriented Training
    • Industry Expert Faculties
    • Free Demo Class Available
    • Completed 500+ Batches
    • Certification Guidance

    Authorized Partners

    ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS .

    Curriculum

    Syllabus For Big Data Science Online Training
    Module 1: Introduction to Big Data
    • Overview and Characteristics
    • Understanding Big Data
    • Big Data Technologies
    • Applications of Big Data
    Module 2: Data Processing Frameworks
    • Hadoop Overview
    • Data Processing with MapReduce
    • Apache YARN
    Module 3: Data Ingestion and Storage
    • Data Ingestion Tools
    • Data Storage Solutions
    • Data Warehousing Concepts
    • Apache Kafka
    Module 4: Data Processing with Apache Spark
    • Introduction to Spark
    • Working with RDDs
    • DataFrames and Spark SQL
    • Running SQL queries on DataFrames
    Module 5: Data Analysis Techniques
    • Data Visualization Tools
    • Effective Data Storytelling
    • Visualization Tools
    Module 6: Machine Learning Basics
    • Introduction to Machine Learning
    • Feature Engineering
    • Model Evaluation Metrics
    Module 7: Machine Learning with Spark MLlib
    • Introduction to Spark MLlib
    • Data Preparation for Machine Learning
    • Supervised Learning Algorithms
    • Unsupervised Learning and Clustering
    Module 8: Data Ethics and Privacy
    • Understanding Data Ethics
    • Data Privacy Laws
    • Overview of GDPR and CCPA regulations
    • Bias and Fairness in Data
    Show More
    Show Less
    Need customized curriculum?

    Hands-on Real-Time Big Data Science

    Project 1
    Predictive Analytics for E-commerce

    In this project, the goal is to develop a predictive model to forecast customer behavior and purchasing patterns for an e-commerce platform.

    Project 2
    Real-Time Fraud Detection

    This project aims to develop a sophisticated real-time fraud detection technology designed to identify and prevent fraudulent activity in financial transactions effectively.

    Our Big Data Science Placement Can Help You Find a Job

    • Our Big Data Science training offers strong job placement support, including CV development, interview coaching, and connections to data science employers.
    • We offer in-depth career counseling to help students recognize their strengths, define their professional objectives, and identify the most effective career paths in Big Data Science and related fields.
    • Our Big Data Science Placement support features exclusive job fairs and networking events specifically designed for certified Big Data professionals.
    • Students completing our Big Data Science training gain access to exciting career opportunities with top tech companies such as IBM, Amazon, Google, and Microsoft.
    • Big Data Science Placement also provide internship opportunities with our partner organizations, enabling students to gain hands-on experience with real-world projects and expand their professional network.
    • Our program includes workshops on resume writing and LinkedIn profile enhancement to boost students' visibility to potential employers and help them build a solid professional profile.
    • Big Data Science Placement facilitate networking events with various businesses and organizations, fostering connections and collaboration for Big Data Science professionals.

    Get Industry-Recognised Big Data Science Certification

    The industry-recognized Big Data Science certification confirms your expertise in managing and analyzing large-scale data. The training programs are thorough, covering everything from basic principles to advanced data processing techniques. Participants acquire both conceptual understanding and valuable abilities in using tools like Hadoop, Spark, and NoSQL databases. Achieving this Big Data Science certification enhances your professional credibility and demonstrates your capability in big data analytics, increasing your attractiveness as a candidate for roles in data science and analytics.

    Yes, earning a Big Data Science certification can lead to further advanced or specialized certifications. For instance, you might pursue certifications in Hadoop , or machine learning and data science credentials from AWS, Google Cloud, or Azure.
    • Beginner Level
    • Intermediate Level
    • Advanced Level

    Getting certified does not ensure that you will find work. Although it can increase your chances and make you a more appealing candidate, employment is contingent on a number of circumstances, such as the state of the labor market, your overall experience, and your suitability for particular tasks.

    • Certified Big Data Professional
    • Cloudera Certified Associate
    • Cloudera Certified Professional
    • Hortonworks Certified Associate
    • Google Professional Data Engineer
    Typically, a Big Data Science certification course takes between 8 to 12 weeks to complete. The exact duration depends on whether the course is self-paced or instructor-led, and how in-depth the content is. Some programs may offer faster or extended timelines to accommodate different learning preferences and schedules.

    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 the Best Practice Advice From Our Big Data Science Trainers

    • Our Big Data Science training provides a thorough learning experience, spanning from foundational concepts to advanced techniques, ensuring a well-rounded education.
    • Big Data Science Trainers have deep expertise in Big Data technologies and tools, including Hadoop, Spark, and various data processing frameworks.
    • With extensive industry experience at top IT firms like eBay, Google, Amazon, Microsoft, our Big Data Science trainers bring valuable insights and practical knowledge to the classroom.
    • Our trainers excel in communication and employ diverse instructional methods, such as case studies, lectures, hands-on exercises, to actively engage students and enhance learning.
    • We are committed to fostering an inclusive and encouraging learning atmosphere where pupils are motivated to participate, ask questions, and receive prompt assistance from our experienced trainers.
    • Throughout the course, our trainers serve as mentors, offering personalized support, constructive feedback, and encouragement to help students achieve their learning goals.
    • Our Big Data Science Trainers stay abreast of the latest developments in Big Data technologies, ensuring that our curriculum is aligned with current industry trends.

    FAQs

    Looking for better Discount Price?

    Call now: +91-7669 100 251 and know the exciting offers available for you!

    • ACTE is the Legend in offering placement to the students. Please visit our Placed Student list on our website
    • We have strong relationships 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 and presentation skills to prepare students to face a challenging interview situation with ease
    • 85% percent placement record
    • Our Placement Cell supports you till you get placed in a 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 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 .
      The entire Express Js 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.
    Learn Big Data Science at ACTE to gain hands-on experience, flexible learning options, and career support from expert instructors with a comprehensive curriculum.
    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 Classroom One to One Training Fast Track Customized Training and Online Training mode. Through this way you won’t mess anything up in your real-life schedule.

    Will I Be Given Sufficient Practical Training In Big Data Science Course ?

    Our courseware is designed to give a hands-on approach to the students in the Big Data Science course. 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.
    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 .
    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 Big Data Science batch to 5 or 6 members.
    Yes, we offer demo or trial sessions for prospective students interested in our Big Data Science course, providing an opportunity to experience our teaching style and course content firsthand before making a commitment.
    You can contact our support number at +91 76691 00251 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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