Master Big Data Analysis with Expert Training in Bangalore
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Big Data Analytics Course in Bangalore

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  • Classes for Both Beginners and Experts.
  • 15408+ Students Trained, and 438+ Recruiting Clients.
  • Get Industry-oriented Training With the Assurance of Placement.
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  • Delivered by a Big Data Analytics Certified Expert With 9+ Years of Experience.
  • Next Big Data Analytics Batch to Begin This Week – Enroll Your Name Now!

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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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Online Courses by Certified Experts

Stimulate Your Career With Our Big Data Fundamentals

  • We provide authorized certifications, real-time practice lab facilities, and best job placement.
  • Learn from Experts about the newest trends, developing statistical analysis algorithms, and techniques.
  • To get better opportunities, we develop well-organized, systematic courses from beginner to advanced levels.
  • Get our professional advice on projects, career advice, and interview preparation to land the hottest jobs at the top MNC.
  • Trainer have practical experience working on real projects and having the initiative to approach complex data science problems.
  • Every Concept from Basic to Advanced in Big Data Fundamentals, will be Clearly Explained by Our Experienced Tutors to Learners.
  • We help candidates find their dream jobs by providing them with real-world industrial training, internships, and practical learning opportunities.
  • Analytical Methodology, Statistical Terminology, Analysing Categorical Data, Hypothesis, Types of Errors, Transposing, Bagging, and Boosting are some of the concepts covered in Big Data Analytics training.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs


Course Objectives

  • Enhanced skills in Big Data analytics.
  • Better career opportunities in data-driven industries.
  • Efficient data analysis and decision-making.
  • Confidence in handling complex data challenges.
  • Up-to-date knowledge of industry trends and technologies.

Learn Big Data analytics to unlock opportunities in data-driven industries, gain the ability to analyze large datasets, and contribute to data-driven decision-making in various sectors.

The scope of Big Data analytics is expected to grow in the future as organizations increasingly rely on data-driven insights to gain a competitive edge.

  • Data preprocessing and cleaning.
  • Data analysis and visualization.
  • Machine learning and predictive modeling.
  • Big Data technologies (e.g., Hadoop, Spark).
  • Proficiency in programming languages (e.g., Python, R).
  • Basic knowledge of statistics and programming.
  • Familiarity with databases and SQL.
  • Understanding of data concepts and structures.
  • Mathematical aptitude for statistical analysis.

Real-world projects in a Big Data analytics course may include analyzing customer behavior patterns, building predictive models for sales forecasting, and implementing sentiment analysis on social media data.

  • Introduction to Big Data and its challenges.
  • Data preprocessing and cleaning techniques.
  • Exploratory data analysis and visualization.
  • Machine learning algorithms for predictive modeling.
  • Big Data technologies and distributed computing.
  • Ethical considerations in Big Data analytics.

Is Big Data analytics a good career in India?

Yes, Big Data analytics offers a promising career in India due to the increasing adoption of data analytics across various industries, including finance, healthcare, e-commerce, and IT services. Skilled professionals are in high demand to extract insights from large datasets.

What are some tools used in Big Data analytics?

  • Apache Hadoop
  • Apache Spark
  • Python (with libraries like pandas, NumPy, and scikit-learn)
  • R programming language
  • SQL and relational databases
  • Tableau or Power BI for data visualization

Which industries commonly employ professionals with Big Data analytics skills?

Banking and finance, healthcare, retail and e-commerce, telecommunications, manufacturing, and IT services are some of the industries that commonly employ professionals with Big Data analytics skills.

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

Big Data analytics courses provide textbooks, online resources, video tutorials, practical exercises with real-world datasets, case studies, and access to relevant software tools and platforms for hands-on learning.

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Overview of Big Data Analytics Training

The Big Data Analytics Training route gives an in-depth knowledge of the standards, gear, and techniques used to extract treasured insights from large and complicated records units. In contemporary statistics-pushed global, businesses throughout numerous industries are coping with massive quantities of data, and the capacity to investigate and interpret this fact has turned out to be essential for making informed choices and gaining an aggressive facet. The direction generally covers a wide range of subjects associated with huge statistics analytics, which include data acquisition and preprocessing, statistics storage and management, records mining and gadget-gaining knowledge of, records visualization, and records-driven choice-making. Students are delivered to diverse tools and technology used in the massive information environment, along with Hadoop, Apache Spark, NoSQL databases, and cloud-based analytics systems.

Additional Info

The Advantages of Big Data Analytics Training

  • Enhanced career prospects: Big facts analytics skills are in high demand, and completing a path in this discipline can considerably beautify your career potentialities.
  • Competitive benefit: By obtaining an understanding of big information analytics, you benefit from a competitive part inside the process market and might stick out from other applicants.
  • Increased job opportunities: Big Data Fundamentals experts are wanted in various industries, establishing an extensive variety of job opportunities.
  • Better selection-making: Big records analytics equips you with the tools and strategies to investigate massive records units, enabling greater informed and data-pushed selection-making.
  • Improved enterprise outcomes: By uncovering treasured insights from statistics, companies can optimize procedures, improve purchaser reports, and pressure business boom.
  • Technological proficiency: Big records analytics guides introduce you to famous tools and technology used in the field, improving your technical talents and making you more marketable.
  • Practical palms-on enjoy: Many guides offer fingers-on physical activities and projects, allowing you to use your getting to know to actual-international information units and benefit sensible revel in.
  • Understanding of records privateness and ethics: Big statistics analytics guides often cowl ethical issues and privacy worries related to coping with and reading the information, making sure responsible and compliant information practices.
  • Adaptability to industry traits: The area of massive facts analytics is dynamic, and a route facilitates you to stay updated with brand new developments, technology, and nice practices.
  • Lifelong studying: Completing a Big Data Analytics route provides a stable foundation, permitting you to keep getting to know and growing in the area at some stage in your career.

Future Applications and Scopes of Big Data Analytics Training

The future applications and scopes of Big Data Analytics Training are vast and continue to expand as technology advances and the volume of data generated increases. Here are some key areas where Big Data Analytics is expected to have significant impact:

  • Healthcare: Big Data Analytics can revolutionize healthcare by analyzing large volumes of patient data, electronic health records, and medical research. It can enable personalized medicine, early disease detection, improved clinical decision support systems, and efficient resource allocation.
  • Internet of Things (IoT): As IoT devices generate enormous amounts of data, Big Data Analytics can extract valuable insights from this data to optimize performance, enhance predictive maintenance, and enable smart city initiatives.
  • Finance and Banking: Big Data Analytics can help financial institutions detect fraud, assess risks, and identify patterns in customer behavior to offer personalized financial services. It can also aid in algorithmic trading and investment decision-making.
  • Marketing and Customer Analytics: Customer behaviour, preferences, and sentiment analysis may all be learned via big data analytics. It enables targeted marketing campaigns, personalized recommendations, and customer segmentation.
  • Supply Chain and Logistics: Big Data Analytics can optimize supply chain operations by analyzing data on inventory, demand, and transportation. It enables efficient route planning, inventory management, and demand forecasting.
  • Smart Manufacturing: Big Data Analytics can drive improvements in manufacturing processes through predictive maintenance, quality control, and real-time monitoring of production data. It helps in reducing downtime, optimizing resource allocation, and enhancing overall efficiency.
  • Energy and Utilities: Big Data Analytics can analyze data from sensors and smart meters to optimize energy consumption, improve grid management, and enable predictive maintenance of infrastructure.
  • Social Media and Sentiment Analysis: Big Data Analytics plays a crucial role in analyzing social media data, understanding customer sentiment, and enhancing brand reputation management. It enables organizations to respond effectively to customer feedback and adapt marketing strategies.
  • Government and Public Sector: Big Data Analytics can be utilized by governments for public policy planning, fraud detection, disaster response management, and citizen services optimization.
  • Sports Analytics: Big Data Analytics is transforming the sports industry by analyzing player performance data, fan engagement metrics, and optimizing team strategies. It enhances decision-making for coaches, managers, and sports organizations.

Some of the Tools Used in the Big Data Analytics Course

In a Big Data Analytics course, students are typically exposed to a variety of tools and technologies that are widely used in the field. Here are some common tools and platforms that are often covered in such courses:

  • Hadoop: Apache Hadoop is a popular open-supply framework that gives allotted garage and processing of large records units across clusters of computers. For the garage, it includes Hadoop Distributed File System (HDFS) and the MapReduce programming model for processing records in parallel.
  • Apache Spark: A short and adaptable open-source framework known as Apache Spark makes disbursed facts processing and analytics possible. It gives in-memory processing competencies, supports various programming languages (along with Scala, Java, and Python), and offers an extensive range of libraries for device getting to know, graph processing, and streaming facts analysis.
  • SQL and NoSQL Databases: Structured Query Language (SQL) databases, which include MySQL, PostgreSQL, and Oracle, are commonly used for storing structured facts. Additionally, NoSQL databases like MongoDB, Cassandra, and HBase are utilized for handling unstructured and semi-established records.
  • Apache Kafka: Apache Kafka is a dispensed streaming platform used for constructing actual-time records pipelines and streaming applications. It can deal with excessive-throughput, fault-tolerant, and scalable information streams.
  • R and Python: R and Python are popular programming languages for data analysis and statistical modeling. They offer an extensive range of libraries and applications for facts manipulation, visualization, and advanced analytics.
  • Tableau and Power BI: Tableau and Microsoft Power BI are effective facts visualization tools that allow users may design interactive reports, dashboards, and visualisations. They permit users to benefit from insights from records and gift findings in a visually attractive and understandable way.
  • Apache Pig: Apache Pig is a high-level scripting language used for processing and analyzing large data sets in Apache Hadoop. It simplifies the process of writing complex MapReduce tasks and enables data transformations and aggregations.
  • Apache Hive: The Hadoop Distributed File System (HDFS) is the storage system used by the Apache Hive data warehouse architecture, which offers a SQL-like language (HiveQL) for querying and analysing massive datasets.
  • TensorFlow and PyTorch: TensorFlow and PyTorch are popular open-source libraries for machine learning and deep learning. They provide a wide range of tools and APIs for building and training models on large datasets.
  • Cloud-based Platforms: Big data may be stored, processed, and analysed using a variety of services and tools available on cloud-based platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

The Prerequisites of the Big Data Analytics Training Program

While the prerequisites for a Big Data Analytics training program may vary depending on the specific course and institution, here are some common prerequisites you may come across:

  • Basic Programming Skills: A foundational understanding of programming concepts is often required. Proficiency in languages such as Python, Java, or R can be beneficial as they are commonly used in Big Data Analytics.
  • Statistics and Mathematics: Familiarity with statistical concepts, such as probability, descriptive statistics, and hypothesis testing, is essential for analyzing and interpreting data. Understanding certain algorithms and models might also benefit from having a working knowledge of linear algebra and calculus.
  • Database and SQL Knowledge: Understanding databases and SQL (Structured Query Language) is important as data storage and retrieval are fundamental aspects of Big Data Analytics. Familiarity with database concepts, such as tables, queries, and joins, is valuable.
  • Data Analysis and Data Manipulation: Experience with data analysis and manipulation techniques is beneficial. Understanding how to clean, transform, and preprocess data is essential for obtaining reliable results.
  • Familiarity with Machine Learning: Basic knowledge of topics related to machine learning, including supervised and unsupervised learning, classification, regression, and clustering, is advantageous. Understanding different algorithms and their applications can enhance your understanding of Big Data Analytics.
  • Basic Understanding of Big Data Technologies: While not always a prerequisite, having some knowledge of Big Data technologies like Hadoop, Apache Spark, or NoSQL databases can give you a head start in understanding the infrastructure and tools used in the field.
  • Critical Thinking and Problem-Solving Skills: Big Data Analytics often involves complex data problems that require critical thinking and problem-solving abilities. Having a strong analytical mindset and the ability to approach problems creatively is valuable.

The Roles and Responsibilities of Big Data Analytics Training Professionals

Big Data Analytics training professionals play a crucial role in preparing individuals to excel in the field of Big Data Analytics. Their roles and responsibilities typically include the following:

  • Curriculum Development: Training professionals are responsible for designing and developing the curriculum for Big Data Analytics training programs. They determine the learning objectives, select appropriate topics, and create course materials that cover the necessary concepts, tools, and techniques.
  • Instruction and Delivery: They deliver training sessions and lectures to students or participants, either in-person or through online platforms. They explain complex concepts, demonstrate practical examples, and provide guidance on using tools and technologies effectively.
  • Practical Exercises and Projects: To provide students the opportunity to use their knowledge and abilities in real-world situations, training experts create and assign projects and exercises that are practical. They provide guidance, feedback, and support during the execution of these exercises, ensuring students gain hands-on experience.
  • Assessment and Evaluation: They develop assessments, quizzes, and examinations to evaluate the understanding and progress of the learners. They grade assignments, review project submissions, and provide constructive feedback to help students improve their skills.
  • Technical Support: Big Data Analytics training professionals assist students in resolving technical issues related to tools, platforms, or programming languages used in the course. They offer guidance and troubleshooting support to ensure smooth learning experiences.
  • Industry Knowledge and Updates: They stay updated with the latest trends, advancements, and industry practices in Big Data Analytics. They continually update their knowledge base and integrate relevant industry examples and case studies into the training program.
  • Mentoring and Guidance: Training professionals provide guidance and mentorship to students, offering insights into career pathways, industry best practices, and professional development opportunities. They may provide advice on building portfolios, acquiring relevant certifications, and networking within the industry.
  • Continuous Improvement: They actively seek feedback from students, monitor the effectiveness of the training program, and make necessary improvements to enhance the learning experience. They stay informed about emerging technologies and methodologies to ensure the training program remains up-to-date.
  • Collaboration and Networking: Big Data Analytics training professionals often collaborate with industry experts, guest speakers, or practitioners to bring real-world perspectives into the training program. They establish networks with professionals in the field to stay connected with industry needs and trends.
  • Professional Development: To stay effective and current in their roles, training professionals engage in their own professional development. They attend conferences, workshops, and training sessions to expand their knowledge, learn new tools and techniques, and enhance their instructional skills.
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Key Features

ACTE Bangalore 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.



Syllabus of Big Data Analytics Course In Bangalore

Module 1: Introduction to Big Data

  • Understanding the concept of Big Data
  • Characteristics, sources, and challenges of Big Data
  • Overview of Big Data technologies and tools

Module 2: Data Collection and Storage

  • Data collection methods and sources
  • Data preprocessing and cleaning techniques
  • Introduction to distributed storage systems

Module 3: Data Processing with Hadoop

  • Introduction to the Hadoop ecosystem
  • Hadoop MapReduce framework
  • Writing MapReduce programs
  • Introduction to Apache Spark for data processing

Module 4: NoSQL Databases

  • Introduction to NoSQL databases
  • Types of NoSQL databases
  • Data modeling in NoSQL databases

Module 5: Data Analysis with Python

  • Data analysis libraries in Python
  • Exploratory data analysis (EDA) techniques
  • Data visualization with Matplotlib and Seaborn

Module 6: Machine Learning for Big Data

  • Introduction to machine learning
  • Scaling machine learning algorithms for Big Data
  • Implementing models with Apache Spark MLlib

Module 7: Data Warehousing and SQL for Big Data

  • Introduction to data warehousing concepts
  • SQL for querying and managing large datasets
  • Data warehousing solutions

Module 8: Real-time Data Streaming

  • Introduction to real-time data processing
  • Apache Kafka for data streaming
  • Stream processing with Apache Flink or Apache Storm

Module 9: Big Data Visualization

  • Data visualization principles
  • Tools for creating interactive data visualizations
  • Dashboard design and best practices
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Hands-on Real Time Big Data Analytics Projects

Project 1
Social Media Sentiment Analysis

Analyze social media data for brand sentiment insights, customer understanding, and data-driven marketing.

Project 2
Healthcare Data Analytics

Analyze health data for insights improving patient care, including disease prediction models and resource optimization.

Enhance Your Career With Our Big Data Placement

Each person who has finished our online or classroom training successfully, whether they are a student or professional is eligible to join in Big data Analytics Placement Opportunities as a stand-alone course.

  • Industry experts created ACTE's Big Data Analytics Certification Training to meet industry standards.
  • Analytics using big data Trainers help students create resumes that meet the demands of the market today.
  • Every week, we will hold mock interviews and group discussions to determine the gaps in candidates' knowledge.
  • To give you the chance to launch and advance your career at HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM, and other companies.
  • You can find all of the interview schedules on our special student placement portal, where you will also receive email notifications.
  • We've partnered with more than 1000 small and large businesses. It enables us to place our applicants in prestigious MNCs around the world.
  • Qualifying candidates who successfully complete the training receive Big Data Placement assistance, F2F interaction, interview preparation, and other services from ACTE.

Get Impactful With Authorized Big Data Certification

A Big Data certification provides individuals with the knowledge and skills required to work with large volumes of complex data sets. This certification validates proficiency in analyzing, managing, and extracting valuable insights from big data. It covers concepts such as data processing frameworks, data storage technologies, data analysis techniques, and data visualization. By obtaining a Big Data certification, professionals can demonstrate their expertise in handling and leveraging big data effectively, making them valuable assets in today's data-driven business environments.

  • Improved career prospects
  • Industry recognition
  • Enhanced skills and knowledge
  • Better organizational performance
  • Collaboration and networking opportunities

The duration of a Big Data certification course can vary, typically ranging from a few days to several weeks, depending on the training provider and the depth of the curriculum.

  • Cloudera Certified Data Analyst (CCDA)
  • IBM Certified Data Engineer
  • Hortonworks Certified Apache Hadoop Developer (HCAHD)
  • Google Cloud Certified - Professional Data Engineer

Prerequisites for Big Data certifications can vary depending on the certification program and level. Some certifications may require prior knowledge or experience in areas such as data analysis, programming, or database management.

  • Gain foundational knowledge
  • Enroll in training programs
  • Practice with hands-on projects
  • Review study materials
  • Stay updated

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 Trainer

  • Our Big Data trainer work on actual projects that you can participate in to gain useful experience.
  • Our instructors work for companies include Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, and HCL Technologies.
  • Numerous prestigious awards for Big Data Analytics Course in Bangalore have been given to us by reputable IT organizations.
  • Big Data Trainer can also help job seekers improve their chances of getting hired by internal hiring process and real-world project experience.
  • Our tutors are experts in big data analytics and provide applicants with a range of training options, including classroom instruction, online training, and more.
  • Trainers are Currently employed by Top MNCs and Real-time Certified Professionals with 9+ years of programming and coding experience in their respective fields.
  • Our instructors offer the best training to the students because they are highly skilled in theoretical and practical knowledge as well as current knowledge of industrial applications.

Big Data Analytics Course Reviews

Our ACTE Bangalore 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 Big 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 Big Data Analytics technology I referred best to go for Gopal sirs class in ACTE Institute in Tambaram.


Software Engineer

ACTE is very good platform to achieve knowledge in depth and They are providing placement for getting Job my experience and i have completed Big Data Analytics course in Bangalore and ACTE was wonderful not only in terms of understanding the technology but also provides hands on practice to work on technology practically and the faculty is Extremely good and they help students in each and every way possible


Software Engineer

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


"I would like to recommend to the learners who wants to be an expert on Big Data Analytics just one place i.e., ACTE. After several research with several Training Institutes I ended up with ACTE. My Big 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 Big Data Analytics Training"


Software Testing

I joined in ACTE omr for Big Data Analytics course here without any basic knowledge on Big Data concepts.Now i can say this is the Best Big 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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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's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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