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Big Data Analytics Course In Coimbatore

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  • Beginner and Advanced Level Classes.
  • Hands-On Learning in Big Data Analytics.
  • Offered by a 9+ Years of Certified Big Data Analytics Expert.
  • Access to Ongoing Projects and Cutting-Edge Research Tools.
  • Educated Over 13500+ Students, and Hired Over 250+ Clients.
  • Upcoming Big Data Analytics Batch to Begin This Week – Enroll Your Name Now!

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10-July-2024
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Improve Your Career Path With Our Big Data Analytics Course

  • Learning data analytics expands your problem-solving skills and nurtures a keen eye for patterns and trends.
  • Data visualization is a key component of the course, enabling you to present your findings in a clear and compelling manner.
  • By staying updated on the latest trends and technologies, you'll remain at the forefront of innovation in this rapidly evolving field.
  • The demand for data analytics professionals is soaring across industries, making this a highly lucrative field with abundant job opportunities.
  • Enroll in a data analytics course today to unlock the power of data and pave the way for an exciting and rewarding future in the world of analytics.
  • You'll learn various tools and techniques to extract valuable insights from raw data, including statistical analysis, machine learning, and predictive modeling.
  • Big Data analytics courses offer an exciting journey into the world of data analysis, equipping you with the skills to make sense of vast amounts of data.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
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Course Objectives

Here are some benefits of taking Big Data Analytics course:

  • Expanded Career Opportunities: By completing a data analytics course, you open doors to a wide range of career opportunities.
  • In-Demand Skill Set: Data analytics is a highly sought-after skill in today's job market.
  • Increased Earning Potential: With the increasing demand for data analytics professionals.
  • You can gain a variety of useful skills after completing a Big data analytics course, including:

  • Data analysis: Using statistical approaches, data mining strategies, and data visualization tools.
  • Courses on programming and scripting frequently cover languages like Python or R, which let you work with data, create models, and automate processes.
  • Data manipulation and cleaning: To assure the quality of your data, you will learn how to clean and preprocess data as well as how to handle missing values and outliers.
  • Future applications for Big data analytics look tremendously bright. Organizations of all sizes and sectors are realizing the importance of drawing insights from this data as technology develops and generates massive amounts of data.

  • For many reasons, learning Big data analytics may be quite beneficial. Data analytics expertise is in high demand across industries, first and foremost.
  • Companies are depending on data more and more to inform decisions and gain a competitive edge, which is driving up demand for experts who can efficiently analyze and understand data.
  • Big Data analytics is widely applicable in real-life scenarios across industries. For instance, in marketing, data analytics helps businesses understand customer preferences, behavior, and demographics, allowing them to create targeted campaigns and optimize marketing strategies.

    Big data analytics usually employ a range of methods and tools. Here are several examples:

  • Massive volumes of huge data may be processed and preserved across numerous servers with the help of an open-source framework called Apache Hadoop.
  • Apache Spark: Spark is a free and open-source analytics engine that provides rapid and distributed big data processing capabilities.
  • Apache Cassandra: Cassandra is a distributed, extraordinarily scalable NoSQL database that can handle enormous data volumes across a variety of reasonably priced platforms.
  • The following are some topics frequently taught in Big data analytics courses:

    • Introduction to Big Data Analytics: A description of the discipline of data analytics, its uses, and the function it performs in decision-making procedures.
    • Techniques for gathering and prepping data, such as data extraction, cleaning, handling missing data, and data transformation.
    • Exploratory Data Analysis: Methods for examining and displaying data to spot outliers, correlations, patterns, and trends.
    • Charts, graphs, and interactive visualizations are only a few examples of the effective visual representation of data using the principles and techniques of data visualization.

    Are there any prerequisites for learning a Big Data analytics course?

    Big Data analytics is a profession that involves a wide range of skills and information, thus there are generally no precise prerequisites for mastering it. But it can be helpful to have a strong background in maths and statistics.

    Is Big Data analytics a good career in India?

    Yes, a job in Big data analytics is promising and fulfilling in India. Organizations in a wide range of industries are realizing the potential of data-driven decision-making as a result of the rapid development of digital technology and rising data quantities.

    Which industries commonly employ professionals with Big Data Analytics skills?

    Big Data analytics specialists are highly sought after in a variety of businesses. Finance and banking, healthcare, retail and e-commerce, manufacturing, telecommunications, marketing and advertising, and government sectors are some of the most typical industries that use these individuals.

    What kind of learning materials are provided in the Big Data Analytics course?

  • Big Data Analytics courses typically provide a comprehensive set of learning materials to equip students with the necessary knowledge and skills.
  • These materials often include textbooks, lecture notes, video tutorials, and online resources.
  • Textbooks cover fundamental concepts, theories, and methodologies related to data analytics, providing a theoretical foundation.
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    Learn the Resourceful Data Analytics Fundamentals!!

    The chance to explore the world of Data Analytics Fundamentals is thrilling and comes with enrolling in a big data analytics course. The course gives you the knowledge and abilities required to analyze massive amounts of data and derive insightful information for sensible decision-making. You will receive practical experience using a variety of tools and approaches, such as data mining and machine learning, to address challenging business issues. You'll learn how to deal with the difficulties of working with Big Data by utilizing cutting-edge tools like Apache Hadoop and Apache Spark. The course also places a strong emphasis on critical thinking and problem-solving, giving you the tools you need to build insightful inquiries and successful solutions. You can prepare for a prosperous career in this data-driven era by registering for a Big Data Analytics course.


    Additional Info

    Meaning of Big Data Analytics

    Big Data analytics is the act of dissecting enormous and complicated databases to find important patterns and insights. By utilising cutting-edge technology, processing both structured and unstructured data, and utilising machine learning and artificial intelligence, it goes beyond conventional methods of data analysis. Businesses may take advantage of the potential of big data analytics to make wise decisions, acquire a competitive advantage, and promote growth. Big Data Analytics is revolutionising the way businesses function and make choices as a result of the rising relevance of data in today's business landscape. Prepare to explore this fascinating area and unleash the power of data!


    Benefits of Big Data Analytics Course

    • In-depth knowledge and skills: A Big Data Analytics course provides you with a comprehensive understanding of the tools, techniques, and methodologies used in analyzing large datasets. You'll gain expertise in data mining, data visualization, machine learning, and other advanced analytics techniques, equipping you with valuable skills that are in high demand in the industry. Informatica Data Quality Trainer in Chennai
    • Career opportunities: With the growing demand for professionals skilled in Big Data Analytics, completing a course in this field can open up a wide range of career opportunities. You can pursue roles such as data analyst, data scientist, business intelligence analyst, or data engineer in various industries such as finance, healthcare, marketing, and more.
    • Stay ahead in the job market: Having Big Data Analytics skills gives you a competitive advantage in the job market. Employers are increasingly seeking candidates who can effectively analyze and interpret large volumes of data to drive business insights and decision-making. By acquiring these skills through a course, you position yourself as a valuable asset to potential employers.
    • Hands-on experience: Big Data Analytics courses often include practical exercises, case studies, and real-world projects that allow you to apply your knowledge to real data scenarios. This hands-on experience helps you develop a deeper understanding of the concepts and builds your confidence in working with Big Data Analytics tools and technologies.
    • Networking opportunities: Enrolling in a Big Data Analytics course provides an excellent opportunity to connect with industry professionals, fellow students, and instructors who share a common interest in data analysis. Building a strong network in the field can open doors to collaborations, mentorship, and future career opportunities.
    • Professional recognition: Completing a Big Data Analytics course and earning a certification demonstrates your commitment to professional development and expertise in the field. This recognition can enhance your credibility and make you stand out from other candidates when applying for jobs or promotions.

    Roles and Responsibilities of Big Data Analyst

    Depending on the sector and organisation, a big data analyst may have different specialised duties and responsibilities, however the following are some typical ones:

    • Data analysis: To find patterns, trends, and insights in massive amounts of data, a big data analyst must gather, examine, and analyse the information. To draw out useful information from the data, they employ statistical methods, data mining algorithms, and machine learning models.
    • Data governance and quality: A big data analyst's main duty is to guarantee the reliability, correctness, and quality of the data. To preserve data integrity throughout the analytics process, they evaluate data quality, find and fix data inconsistencies or errors, and set up data governance policies.
    • Data quality and governance: Ensuring data accuracy, integrity, and quality is a key responsibility of a Big Data Analyst. They assess data quality, identify and resolve data inconsistencies or errors, and establish data governance processes to maintain data integrity throughout the analytics process.
    • Problem-solving and decision support: Big Data Analysts work closely with stakeholders, such as business managers or data scientists, to understand their requirements and provide data-driven solutions to complex problems. They assist in decision-making by providing insights and recommendations based on their analysis of the data.
    • Continuous learning and staying updated: In the rapidly evolving field of Big Data Analytics, it is essential for Big Data Analysts to continuously update their skills and stay informed about the latest tools, techniques, and industry trends. They participate in training programs, attend conferences, and engage in self-learning to enhance their knowledge and expertise.

    Skills Required for Big Data Analytics Course

    • Big Data Analytics involves processing and analyzing massive amounts of data to extract valuable insights and make informed decisions.
    • It utilizes advanced technologies and algorithms to uncover patterns, trends, and correlations within vast volumes of data.
    • Organizations can gain a deeper understanding of their customers, improve operational efficiency, and drive innovation by leveraging Big Data Analytics.
    • It enables data-driven decision-making based on real-time information and accurate predictions, helping companies stay ahead of the competition and identify new market opportunities.
    • Big Data Analytics is revolutionizing industries such as healthcare, finance, retail, and manufacturing, offering various benefits specific to each sector.
    • It uncovers hidden insights that were previously inaccessible or too complex to understand, transforming businesses by empowering them to make data-driven decisions.
    • Big Data Analytics is no longer a luxury but a necessity for survival and success in today's fast-paced and highly competitive digital age.

    Tools Used in Big Data Analytics Course

    • Big Data Analytics tools help analysts and data scientists sift through vast amounts of data to uncover valuable insights and patterns.
    • Apache Hadoop is a popular tool for distributed processing of large datasets across clusters of computers, enabling efficient storage, processing, and analysis of massive data.
    • Apache Spark is a fast and general-purpose cluster computing system that allows analysts to perform complex computations on large datasets quickly, offering implicit data parallelism and fault tolerance.
    • Apache Kafka is a distributed streaming platform ideal for capturing and processing real-time data streams, making it crucial in today's fast-paced world.
    • Tableau is a powerful data visualization tool that enables analysts to create visually appealing dashboards and reports from Big Data Analytics findings, facilitating effective communication of insights to stakeholders.
    • These tools revolutionize data analysis by making the impossible possible and unlocking the full potential of data, ultimately driving better decision-making and innovation in organizations.

    Importance of Big Data Analytics Course

    The importance of a Big Data Analytics course cannot be overstated in today's data-driven world. Here are some key reasons why such a course holds immense value:

  • Meeting industry demand: With the exponential growth of data, organizations across industries are in desperate need of professionals who can analyze and derive insights from massive datasets. By taking a Big Data Analytics course, you can acquire the skills and knowledge that are in high demand by employers.
  • Leveraging data for competitive advantage: Big Data Analytics empowers businesses to make data-driven decisions and gain a competitive edge. Through the course, you will learn how to extract valuable insights from complex data, enabling organizations to optimize processes, enhance customer experiences, and identify new business opportunities.
  • Career advancement opportunities: A Big Data Analytics course equips you with valuable skills that can open doors to exciting career opportunities. As organizations increasingly prioritize data-driven decision-making, professionals with expertise in Big Data Analytics are in high demand, offering a promising career path with growth potential.
  • Keeping up with technological advancements: Big Data Analytics is a rapidly evolving field, with new tools and techniques emerging regularly. By enrolling in a course, you can stay updated with the latest trends and technologies, ensuring your skills remain relevant in an ever-changing landscape.
  • Increasing decision-making: Organisations are able to make more informed and precise judgements thanks to the insights received through big data analytics. Making strategic decisions that are in line with organisational objectives and produce better results requires an awareness of client preferences, market trends, and business dynamics.

  • Career Growth in Big Data Analytics Course

    • A career in Big Data Analytics offers tremendous growth potential in today's data-driven world. As businesses continue to generate vast amounts of data, there is a pressing need for professionals who can extract valuable insights from this information. By enrolling in a Big Data Analytics course, individuals can gain the skills and knowledge necessary to meet this demand and thrive in their careers.
    • The increasing adoption of Big Data Analytics across industries translates into a wide range of career opportunities. Professionals can find roles as Data Analysts, Data Scientists, Business Intelligence Analysts, Data Engineers, and more. These positions often come with attractive salary packages and benefits due to the high demand for specialized skills.
    • Moreover, Big Data Analytics is an ever-evolving field, constantly influenced by technological advancements and new data sources. This dynamic nature presents continuous learning and growth opportunities. Professionals who stay updated with the latest tools, techniques, and industry trends can enhance their expertise and advance in their careers.

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    Key Features

    ACTE Coimbatore offers Big 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.

     

    Curriculum

    Syllabus of Big Data Analytics Course in Coimbatore

    Module 1: Introduction to Big Data Analytics

    • Sources of Big Data
    • Structured and Unstructured Data
    • Data Storage and Processing Technologies
    • Data Analytics Frameworks and Tools
    • Introduction to Hadoop Ecosystem
    • Hadoop Distributed File System (HDFS)
    • MapReduce Programming Model
    • Apache Spark,Apache Hive, Apache PigIntroduction
    • Data Warehousing Concepts
    • Data Mining Techniques

    Module 2: Data Mining Techniques

    • Introduction to data mining
    • Data preprocessing techniques
    • Data transformation techniques
    • Association rule mining
    • Clustering techniques
    • Classification techniques
    • Anomaly detection
    • Text mining
    • Time series analysis
    • Evaluation and validation of data mining model

    Module 3: Data Warehousing and ETL

    • Introduction to Data Warehousing
    • Data Warehousing Architecture
    • OLAP and OLTP Concepts
    • ETL (Extract, Transform, Load) Process and its importance
    • Data Modeling for Data Warehousing
    • Dimensional Modeling
    • Fact Tables and Dimension Tables
    • ETL Tools and Techniques
    • Data Cleansing and Data Profiling
    • Performance Tuning and Optimization for Data Warehousing

    Module 4: Big Data Analytics Tools

    • Hadoop ecosystem tools: This includes HDFS, MapReduce, Pig, Hive, Sqoop, Flume, etc.
    • NoSQL databases: MongoDB, Cassandra, HBase, etc.
    • Tools for data visualisation include Tableau, QlikView, Power BI, and others.
    • Machine learning tools: Python, R, Mahout, etc.
    • Cloud-based Big Data Analytics tools: AWS, Azure, Google Cloud Platform, etc.
    • Apache Spark and related tools: Spark SQL, Spark Streaming, Spark MLlib, etc.
    • Graph databases: Neo4j, OrientDB, etc.

    Module 5: Data Visualization

    • An overview of data visualisation and its significance
    • Types of data visualization techniques and tools
    • Best practices for designing effective visualizations
    • Principles of visual perception and how they apply to data visualization
    • Exploratory data analysis using visualizations
    • Interactive visualizations and dashboards
    • Storytelling with data and creating compelling narratives
    • Designing for different audiences and purposes
    • Common data visualization pitfalls to avoid
    • Advanced data visualization techniques and tools

    Module 6: Algorithms for Machine Learning in Big Data Analytics

    • Overview of different types of machine learning algorithms
    • Preprocessing and cleaning of big data for machine learning
    • Regression analysis for big data using linear and logistic regression
    • Clustering algorithms for unsupervised learning
    • Dimensionality reduction techniques
    • Classification algorithms
    • Deep learning algorithms
    • Evaluating and selecting appropriate machine learning models for Big Data Analytics
    • Deploying and scaling machine learning models in distributed computing
    • environments such as Hadoop and Spark

    Module 7: Real-time Big Data Analytics

    • Understanding the characteristics of real-time data
    • Overview of real-time big Data Analytics architecture
    • Real-time data ingestion techniques and tools
    • frameworks like Apache Kafka, Apache Storm
    • Real-time data processing and analysis techniques
    • Real-time machine learning techniques
    • Real-time data visualization techniques and tools
    • Use cases and applications of real-time Big Data Analytics

    Module 8: Case Studies and Projects

    • Customer Segmentation
    • Fraud Detection
    • Sentiment Analysis
    • Predictive Maintenance
    • Supply Chain Optimization
    • Healthcare Analytics
    • Financial Analytics
    • IoT Analytics
    • Social Network Analysis
    • Image and Video Analytics
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    Hands-on Real Time Big data Analytics Projects

    Project 1
    Fraud Detection

    Creating algorithms to identify fraudulent behavior or transactions in huge datasets, which are frequently employed in the financial and e-commerce industries.

    Project 2
    Churn Prediction

    Utilizing customer data analysis to forecast and lower customer turnover rates can help businesses keep customers and increase profits.

    Obtain Our Inventive Big Data Analytics Job Opportunity

    • Pursuing a course in big data analytics opens up a world of exciting placement opportunities, as companies across industries seek professionals with expertise in analyzing and interpreting large volumes of data.
    • The demand for skilled Big Data Analytics Job professionals is skyrocketing, offering a wealth of job prospects in finance, healthcare, retail, technology, and more.
    • The field of big data analytics is still relatively new, allowing for significant growth and innovation, making it an exciting industry to be a part of.
    • The shortage of skilled professionals in this field means that graduates of big data analytics courses are in high demand, leading to competitive salaries and benefits packages.
    • Big data analytics offers ample room for career advancement, allowing individuals to progress and take on more challenging and rewarding roles as they gain experience and expertise.
    • With its potential to shape the future of data analysis and drive meaningful change, a course in big data analytics empowers individuals to make a real impact in the organizations they work with.
    • Enrolling in a big data analytics course today is a fantastic opportunity to launch a successful and fulfilling career at the forefront of the big data revolution.

    Inspire Your Profession With Our Big Data Certification

    The Big Data Certification offers numerous benefits for career advancement. By obtaining this certification, you gain the skills and knowledge necessary to excel in the field of big data analytics. It opens up a wide range of career opportunities across various industries, giving you a competitive edge in the job market. Additionally, professionals with expertise in big data analytics often command higher salaries due to the high demand and scarcity of skilled individuals in this field. Investing in your education through this certification can significantly increase your earning potential and pave the way for a successful career in the world of big data analytics. Enroll in the course today and take your career to new heights.

    • Validation of Skills: Obtaining a Big Data Analytics Certification validates your skills and knowledge in the field.
    • Industry Recognition: Big Data Analytics Certifications are often recognized and respected within the industry. Holding a recognized certification demonstrates your commitment to professional growth.
    • Competitive Edge: In a competitive job market, having a Big Data Analytics Certification sets you apart from other candidates.

    Yes, Big Data analytics can significantly enhance your job placement prospects. As the demand for professionals with Big Data analytics skills continues to grow across various industries, having expertise in this field makes you an attractive candidate to employers.

    Here are some commonly recognized Big Data Analytics Certifications:

    • Certified Analytics Professional (CAP)
    • Cloudera Certified Data Analyst (CCA Data Analyst)
    • IBM Certified Data Engineer
    • SAS Certified Big Data Professional

  • Depending on the particular certification program you select, the requirements for acquiring a Big Data Analytics Certification may change.
  • While some certifications might not have any particular requirements, others might call for a specified degree of education or work experience in the industry.
  • Additionally, underlying knowledge in subjects like statistics, programming, or database management may be advised or required for some certifications.
  • To become recognized as a Big Data Analytics specialist, you normally require a strong academic background in computer science or data science, practical experience with tools and technologies like Hadoop and Python, industry certifications, and strong analytical and problem-solving skills. These degrees are proof of your expertise, commitment to learning, and ability to interpret enormous amounts of data.

    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 Trained With Our Effective Big Data Trainers

    • The trainers for the big data analytics course have extensive experience in working with large datasets and analyzing them to extract insights.
    • These Big Data Trainers have a genuine passion for big data analytics, which translates into their teaching style, making the learning experience engaging and inspiring for students.
    • They actively stay updated with the latest trends and advancements in big data analytics, ensuring that the curriculum remains relevant and incorporates the latest tools and techniques.
    • The trainers of Big Data Analytics Course in Coimbatore create a supportive and interactive atmosphere, encouraging questions, discussions.
    • They provide personalized feedback, guidance, and support to students, helping them overcome challenges, build confidence, and apply concepts effectively in real-world scenarios.
    • The trainers offer assistance with job placement, providing career guidance, interview preparation, and networking opportunities.
    • Dedication to Student Success: These Trainers are dedicated to the success of their students and go the extra mile to ensure that every student understands the concepts.

    Big 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 Big 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 Big data Analytics Course At ACTE?

    • Big data Analytics Course in ACTE is designed & conducted by Big data Analytics experts with 10+ years of experience in the Big 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 Big data Analytics batch to 5 or 6 members
    Our courseware is designed to give a hands-on approach to the students in Big 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 ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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        Job Opportunities in Data Analytics

        More Than 35% Prefer Data Analytics for Business. Data Analytics Is One of the Most Popular and In-Demand Technologies in the Business World.

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