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Big Data Analytics Course In Coimbatore

Rated #1 Recoginized as the No.1 Institute for Big Data Analytics Course In Coimbatore

Advance your career with the Big Data Analytics Course in Coimbatore by enrolling in industry-leading training sessions. Learn from experts and gain hands-on experience in big data analytics.

Upon completing the Big Data Analytics Training in Coimbatore, you’ll gain a thorough understanding of big data technologies, including Hadoop, Spark, data processing, machine learning, and data visualization. Develop the essential skills to manage, analyze, and extract valuable insights from vast data sets.

Unlock job opportunities with top MNCs and leading organizations.
Master big data analytics tools and boost your career prospects!
Gain hands-on experience in data analysis and optimization skills.
Join Big Data Analytics Course in Coimbatore to fast-track growth.
Get affordable, industry-recognized training with placement support.
Connect with 400+ hiring companies and 15,648+ trained professionals.

Enroll in a Coimbatore training institute's Big Data Analytics course to become an expert programmer.
Frontend, Backend, and Database are all covered in this Coimbatore Big Data Analytics course training.
Flexible Learning Options: Select Fast-track Batches, Weekday, or Weekend.
Coimbatore Full Stack Certification Program with Placement Assistance.

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65+ Hrs.

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LMS

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⭐ Fees Starts From

INR ~~38,000~~

INR 18,500

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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.

What You'll Learn From Big Data Analytics Course Training

Gain a deep understanding of risk management principles and frameworks aligned with Big Data Analytics Course standards.

Learn to identify, assess, and mitigate project risks effectively to ensure successful project outcomes.

Master advanced risk analysis tools and techniques to enhance your decision-making and strategic planning skills.

Develop hands-on experience in real-world risk management scenarios guided by certified Big Data Analytics Course professionals.

Your IT Career Starts Here

550+ Students Placed Every Month!

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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

Tools Covered For Big Data Analytics Course Training

Upcoming Batches For Classroom and Online

Weekdays

01 - Dec - 2025

08:00 AM & 10:00 AM

Weekdays

03 - Dec - 2025

08:00 AM & 10:00 AM

Weekends

06 - Dec - 2025

(10:00 AM - 01:30 PM)

Weekends

07 - Dec - 2025

(09:00 AM - 02:00 PM)

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INR 18,500

INR ~~38,000~~

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Who Should Take a Big Data Analytics Course Training

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Working Professionals

Diploma Holders

Professionals from Other Fields

Salary Hike

Graduates with Less Than 60%

Job Roles For Big Data Analytics Course Training

Big Data Analyst

Big Data Engineer

Data Scientist (Big Data Focus)

Data Architect

ETL Developer (Big Data)

Hadoop Administrator

Business Intelligence (BI) Engineer

Data Analytics Consultant

What’s included ?

📊 Free Aptitude and Technical Skills Training

Learn basic maths and logical thinking to solve problems easily.
Understand simple coding and technical concepts step by step.
Get ready for exams and interviews with regular practice.

🛠️ Hands-On Projects

Work on real-time projects to apply what you learn.
Build mini apps and tools daily to enhance your coding skills.
Gain practical experience just like in real jobs.

🧠 AI Powered Self Interview Practice Portal

Practice interview questions with instant AI feedback.
Improve your answers by speaking and reviewing them.
Build confidence with real-time mock interview sessions.

🎯 Interview Preparation For Freshers

Practice company-based interview questions.
Take online assessment tests to crack interviews
Practice confidently with real-world interview and project-based questions.

🧪 LMS Online Learning Platform

Explore expert trainer videos and documents to boost your learning.
Study anytime with on-demand videos and detailed documents.
Quickly find topics with organized learning materials.

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

Show Less

Course Objectives

What are the benefits of a Big Data analytics course?

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.

Mention some skills one can gain in a Big Data Analytics course?

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.

What is the scope of Big Data Analytics in the future?

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.

Why should I learn a Big Data analytics course?

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.

How can Big Data analytics be applied in real-life scenarios?

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.

Describe some of the tools used in Big data analytics?

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.

What are the different topics covered in the Big Data Analytics course?

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.

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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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.

What are the advantages of gaining Big Data Analytics Certification?

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.

Does Big data analaytics ensure job placement?

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.

Mention some of the types of Big Data Analytics Certification?

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

Are there any prerequisites for obtaining Big Data Analytics certification?

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.

What Qualifications are necessary to become certified as a Big Data Analyst?

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.

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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.

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Big data Analytics Course FAQs

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Does ACTE provide placement?

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

Is ACTE certification good?

ACTE

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Work On Live Projects?

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

Who are the Trainers?

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.

What if I miss one (or) more class?

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.

What are the modes of training offered for this Big data Analytics Course?

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

Can I Access the Course Material in Online?

Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.

What certification will I receive after course completion?

You will receive ACTE globally recognized course completion certification Along with project experience, job support, and lifetime resources.

How Old Is ACTE?

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.

What Will Be The Size Of A Big data Analytics Batch At ACTE?

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

Will I Be Given Sufficient Practical Training In Big data Analytics?

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.

How Do I Enroll For The Big data Analytics Course At ACTE?

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