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Big Data Analytics Course In Bangalore

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  • Extreme adequate curriculum Designed by Industrial Big data Analytics Expert.
  • Delivered by 9+ years of Big data Analytics Certified Expert | 12402+ Students Trained & 350+ Recruiting Clients.
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05- Jun - 2023

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07- Jun - 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

10- Jun - 2023

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10- Jun - 2023

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Get Cogitate About ACTE Big Data Analytics Course in Bangalore

  • We Direct candidates to Achieve their Dream job with help of a tech career and with True Industrial training, Internship, and Practical Learning.
  • Our Experienced tutors will help Learners to understand every Point in the Big-Data-Analytics Program from Scratch to Advanced.
  • Get our expert tips on Interview preparation, mock interviews, Projects, and Career Advice to grab the trendy Job Positions on top MNC.
  • Get experience with BigData Analytics and continuously look for ways to assist their companies in getting even more from additional features.
  • There are over a million jobs in Big-Data-Analytics and you can open up the door to many different career paths.
  • Big Data Analytics Certification Course gives you complete knowledge of big data applications, and How to use fundamental principles used in predictive analysis.
  • With Big Data Analytics Certification Training you can apply for Multiple Job Roles like Data Analyst, Data Scientist, Data Science Engineer, Data Science Intern, Business Analyst, and ML Engineer.
  • We Come Up With Well Organized and Systematic Course from Beginning to Advanced to get Better Opportunities with Better.
  • Get to Learn the trending updates and Developing algorithms for the statistical analysis, key Technologies, Techniques, and Apache Spark from Experts.
  • Hands-on Experience in live project sessions and being able to approach large-scale data science Problems with creativity and initiative.
  • We Provide Real-Time Practice Lab Facilities, Instant Doubt Solving, 100% Job Assurance, and 2 Global Certifications.
  • Learning Concepts: Analytical Terminology, Analytical Methodology, Proc Print, Proc Contents, Proc Gchart, Proc Gplot, Statistical Terminology, Analyzing Categorical Data, Hypothesis, Types of Errors, Proc Sort, Proc Format, Keeping, Dropping, Renaming, Transposing, Bagging and Boosting.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

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Course Objectives

No, Big Data Analytics is not hard to learn. It is a relatively new field that combines the disciplines of statistics, computer science, and business intelligence. While it can be challenging to learn, it can be done with the right resources and guidance. Additionally, many companies offer courses and certifications in Big Data Analytics.

To start learning Big Data Analytics, you should first understand the basics of data analysis, such as data management and manipulation, descriptive statistics, predictive modeling, and data visualization. Additionally, you should become familiar with the tools and technologies associated with Big Data Analytics, such as Apache Hadoop, Apache Spark, and Apache Flink. Finally, you should read up on the strategies and techniques used in successful Big Data Analytics projects, such as data mining, machine learning, and natural language processing.

ACTE offers the following Big Data Analytics related courses:
  • Big Data Hadoop and Spark Developer Certification
  • Big Data Hadoop and Apache Spark Administrator Certification
  • Big Data Analytics using SAS
  • Big Data Analytics using R Programming
  • Big Data Analytics using Python
  • Apache Pig and Hive
  • Apache Kafka
  • Apache Storm
  • Apache Flink
  • Apache Spark and Scala

The advantages of being a Big Data Analyst include:

  • Being able to provide insights and actionable recommendations to business decisions.
  • Developing a broad understanding of the data landscape and how to leverage data to achieve business objectives.
  • Working with a variety of tools and technologies to identify, cleanse, and manipulate data.
  • Gaining the ability to identify trends and patterns in data to help drive decisions.
  • Being able to communicate complex data concepts to non-technical audiences in an understandable manner.
  • Having a greater understanding of the data-driven world and being able to identify opportunities for improvements and efficiencies.

The salary of a Big Data Analytics developer can vary greatly depending on a number of factors, including experience level, job title, geographical location, and specific skill set. According to Glassdoor, the national average salary for a Big Data Analytics Developer is $105,301 per year in the United States. However, salaries can range from as low as $78,000 to as high as $150,000.

The top hiring companies for Big Data Analytics developers include:

  • 1. Amazon: Amazon is one of the largest and most successful companies in the world, and it has been at the forefront of big data for many years. Amazon employs a large number of big data analytics developers to help them maintain their massive data warehouses and keep up with the ever-changing needs of their customers.
  • 2. Microsoft: Microsoft has been a leader in big data for a long time and they have some of the best tools and technology available for data analytics professionals. They are also one of the top employers of big data analytics developers, offering competitive salaries and benefits.
  • 3. IBM: IBM is another large company that has been at the forefront of big data for many years. They have a large number of big data analytics developers on their staff and offer a wide range of career paths for those interested in the field.
  • 4. Google: Google is another major player in the big data space and they employ a large number of big data analytics developers. They offer a wide range of career paths and competitive salaries, making it a great place to work for those interested in the field.
  • 5. Dell: Dell is another large technology company that is heavily involved in the big data space. They employ a large number of big data analytics developers and offer competitive salaries and benefits.

The different milestones for a Big Data Analytics developer include:

  • 1. Developing an understanding of the business requirements and the data
  • 2. Setting up a data analytics environment
  • 3. Designing and developing data models
  • 4. Analyzing and interpreting data
  • 5. Creating reports and visualizations
  • 6. Developing data-driven solutions
  • 7. Deploying the data analytics projects
  • 8. Monitoring the performance of the system
  • 9. Performing maintenance and support tasks

8. What requirements do I need for Big Data Analytics Training?

The exact requirements for Big Data Analytics Training vary depending on the type of training you’re looking for. Generally, basic training in Big Data Analytics will require an understanding of computer science fundamentals, basic programming skills, and an understanding of databases and data structures. Advanced Big Data Analytics training will require more advanced knowledge of data mining and machine learning algorithms, as well as the ability to write code in a variety of languages, including Python, R, and Java. Additionally, some Big Data Analytics training may require a working knowledge of statistics and data visualization.

9. How do I practice Big Data Analytics?

To practice Big Data Analytics, you should first familiarize yourself with the various tools and techniques used in the field. Some examples of Big Data Analytics tools include Apache Hadoop, Apache Spark, Apache Flink, and Apache Cassandra. Once you have a basic understanding of these tools, you can start exploring real-world datasets to gain hands-on experience. You can also join online courses or workshops that provide an overview of Big Data Analytics and its applications. Reading blogs, tutorials, and articles on the latest trends in the industry is a great way to stay up to date with the latest developments in the field.

10. Do u need any special qualifications to enroll in this Big Data Analytics Training?

No, you do not need any special qualifications to enroll in this Big Data Analytics Training. All you need is basic knowledge of programming and mathematics, and a willingness to learn.

11. How can you get assistance for preparing a Big Data Analytics Training Interview?

There are many online resources available to help you prepare for a Big Data Analytics Training Interview. Some of these resources include online tutorials, practice questions, webinars, and online forums. Additionally, there are many professionals in the field who offer consulting services to help with interview preparation.

12. Top 5 skill sets that you will learn in Big Data Analytics?

There are 5 skill sets to enough get Big Data Analytics,

  • 1. Data Science & Machine Learning
  • 2. Data Mining
  • 3. Programming & Statistical Analysis
  • 4. Visualization & Data Modeling
  • 5. Cloud Computing & Database Management
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Overview of Big Data Analytics Training in Bangalore

Our Big Data Analytics course in ACTE Bangalore, this course is an emerging field that provides the necessary tools and techniques to analyze large datasets. The course aims to equip learners with the necessary skills to apply data analytics techniques to extract meaningful insights from large datasets. It covers topics such as data preprocessing, data exploration, machine learning algorithms, deep learning algorithms, model evaluation, and data visualization. The course also touches upon the ethical implications of using data for predictive analysis. Furthermore, the course provides hands-on experience with tools like Python, R, Hadoop, and Tableau to implement the data analytics techniques learned.The course will focus on the ethical, legal, and social implications of big data. By the end of the course, students should be able to design, implement, and evaluate data-driven solutions. If you need better Career growth in the future enroll in the Data Analytic course with professional certification.

Additional Info

Is Big Data Analytics Requires Coding knowledge?

Big Data Analytics does not necessarily require coding knowledge, as there are a variety of tools available that allow users to analyze data without writing any code. Many of these tools are designed to be user-friendly, allowing non-coders to get up and running quickly and efficiently. These tools may include drag-and-drop features, data visualizations, and advanced analytics capabilities that allow users to explore their data without the need for coding. Having coding knowledge can be of great benefit when working with big data. Programming languages like Python or R are designed to handle large datasets and can be used to optimize performance and automate tasks.

Understanding the basics of coding can also help users understand how algorithms work and how to best configure them for their specific use case. Coding can help users customize their analytics tools with additional features or refine the accuracy of their results. This can be especially useful when exploring complex datasets or developing custom applications. But having coding skills can be a major advantage in certain scenarios. Understanding the basics of coding can help users get the most out of their analytics tools and unlock new possibilities for their data.

Why do we need a Data Analytic course?

Data analytics is a critical tool for businesses to understand their customers and make informed decisions. With the rise of big data, businesses are increasingly relying on data analytics to make informed decisions and optimize their operations. Data analytics is the process of collecting, organizing, and analyzing data to generate insights that can be used to improve decision-making. By understanding customer behavior and preferences, companies can gain a competitive advantage in the marketplace.

Data analytics can also be used to identify trends, develop predictive models, and uncover hidden relationships that can lead to new products, services, or markets. Companies can also use data analytics to identify areas of improvement in their operations. Furthermore, data analytics can be used to identify areas for cost savings and increase efficiency. Data analytics is a powerful tool that requires a comprehensive understanding of data science and analytics techniques.

  • 1. To gain an understanding of the principles and techniques used to analyze large datasets.
  • 2. To learn how to use data analytics tools and software to analyze and interpret data.
  • 3. To develop the ability to identify trends, patterns, and correlations in data.
  • 4. To apply data analysis techniques to generate insights from data.
  • 5. To develop the skills to make evidence-based decisions and forecasts.
  • 6. To understand the importance of data quality and data governance.
  • 7. To gain knowledge about different types of data, such as structured and unstructured.
  • 8. To learn about the different methods for collecting, cleaning, and preparing data for analysis.
  • 9. To gain an understanding of the ethical implications of data analysis.
  • 10. To develop the skills to effectively communicate data insights to stakeholders.

Components of Big Data:

Big Data is composed of three main components: volume, variety, and velocity. Volume refers to the amount of data that is available to be processed. Variety refers to the different types of data that can be collected, such as structured and unstructured data, while velocity refers to the speed at which data can be collected, stored, and analyzed. Big Data is not just about data volume, but also about the types of data that can be collected. Structured data is data that is stored in an organized format, such as in a database. Unstructured data is data that does not have a specific format and can be more difficult to process. Big Data can include a variety of data sources, such as social media, email, web logs, and mobile data.

The volume and variety of data, Big Data also requires processing at a certain velocity. Velocity refers to the speed at which data can be processed and analyzed. This is important because it allows organizations to quickly respond to changes in the market and make decisions based on up-to-date data. Big Data tools help organizations analyze data quickly and make decisions in real-time. Big Data can provide organizations with valuable insights that help them make better decisions. However, collecting, storing, and analyzing such large amounts of data can be a challenge. Organizations need to have the right tools, technologies, and infrastructure in order to be able to process Big Data efficiently.

5V’s of Big Data:

  • 1. Volume: Big Data refers to datasets that are too large to store and process using traditional computing methods. This can range from a few hundred gigabytes to multiple petabytes of data.
  • 2. Variety: Big Data refers to data that comes in many different formats, such as structured (relational databases) and unstructured (text, audio, images).
  • 3. Velocity: Big Data refers to data that is being generated and collected at an extremely fast rate. This data needs to be processed quickly in order to be useful.
  • 4. Veracity: Big Data refers to data that is incomplete, incorrect, and uncertain. This data must be managed and analyzed carefully in order to be useful.
  • 5. Value: Big Data refers to data that has the potential to be turned into valuable insights and actions. This requires tools and techniques to analyze and interpret the data.

Big Data Analytics Works with Current Technologies:

Big Data Analytics works with current technologies by allowing businesses to collect, analyze, and use massive amounts of data to gain insights quickly and accurately. Big Data Analytics utilizes massive data sets, often in the petabyte range, to identify trends and patterns that can help businesses make better decisions. This data can be gathered from a variety of sources such as mobile phones, social media, web traffic, or any other source of digital data. This data can then be used to gain insights into customer behavior, market trends, or even the effectiveness of marketing campaigns. Once the data is collected, Big Data Analytics can be used to process it and gain insights.

To this data processes scale and manage their data more effectively. By leveraging cloud computing and distributed computing technologies, businesses can store and process more data faster, more accurately, and more cost-effectively. This makes it easier for businesses to quickly and accurately analyze large data sets and gain insights. Furthermore, MLOps enables businesses to build, deploy, and manage their ML models more efficiently.

Big Data Analytics works with current technologies to enable businesses to collect, analyze, and use large datasets to gain insights quickly and accurately. By leveraging cloud computing and distributed computing technologies, businesses can scale and manage their data more effectively. Furthermore, Big Data Analytics works with current technologies such as MLOps to enable businesses to build, deploy, and manage their ML models more efficiently.

Big Data Analytics Future Scops:

Big Data Analytics is an emerging field that promises to revolutionize the way businesses operate and create value. By leveraging data collected from a wide range of sources and applying advanced analytics techniques, companies can gain valuable insights from their data and use them to make decisions and develop strategies that can lead to greater success. In the near future, Big Data Analytics will become even more powerful as businesses begin to take advantage of its full potential. By leveraging Big Data Analytics, businesses will be able to access, process, and analyze large volumes of data more quickly and efficiently than ever before. This will enable them to make better and more informed decisions.

By tracking customer interactions and purchases, businesses can gain valuable insights into what drives customer loyalty and what kind of products and services they are likely to buy in the future. This will allow companies to develop targeted marketing campaigns and create products and services that better meet customer needs. Big Data Analytics will also allow companies to identify gaps in their products and services, providing them with the opportunity to develop new products or improve existing ones. Companies will be able to use analytics to analyze customer feedback, identify and address customer complaints, and develop new features and improvements. This will enable them to stay ahead of the competition and remain competitive in a rapidly changing business environment. Data Analytics will also be used to detect and prevent fraud and other security threats.

1. Developing next-generation intelligent data analytics tools: Companies will increasingly invest in technologies that enable the analysis of larger, more complex datasets. This could include tools such as machine learning, natural language processing, and predictive analytics, to help make sense of the vast amounts of data they collect.

2. Utilizing big data to drive business insights: Companies will use big data analytics to gain deeper insights into their customer base and their markets. This could include analyzing customer behavior, preferences, and trends to develop more effective marketing campaigns.

3. Improving customer experience: Companies will use big data to create a more personalized customer experience, with better customer segmentation, more targeted and relevant messaging, and more effective customer service.

4. Enhancing operational efficiency: Companies will use data-driven approaches to improve their operational efficiency, from improved inventory management and forecasting to more accurate demand prediction and smarter scheduling.

5. Enhancing security: Companies will use big data to better protect their data from cyber threats. This could include advanced analytics, machine learning, and predictive analytics to detect threats and respond quickly.

By analyzing a wide range of data sources and applying advanced analytics techniques, businesses will be able to detect and respond to potential threats in a timely manner. This will help them to protect their customers and their data, as well as their reputation. Big Data Analytics has the potential to transform the way businesses operate and create value. By leveraging its full potential, companies will be able to gain insights from their data, identify opportunities, and develop strategies that can lead to greater success. As technology advances and businesses begin to take advantage of their full potential, the possibilities are endless.

What are the Big Data Analytics Prerequisites for Developers?

Big data analytics is a rapidly evolving field that requires comprehensive knowledge of computer science, mathematics, and statistics. To successfully analyze big data, a student must possess a fundamental understanding of the principles of computer programming, software engineering, mathematics, and statistics. Additionally, a firm grasp of data management and data warehousing is essential for understanding how to store and process large amounts of data.

  • Computer Science: Knowledge of computer science is essential for understanding how to effectively use big data analytics tools and techniques. Students must have an understanding of key concepts in computer programming, such as data structures, algorithms, and object-oriented programming. Additionally, they should be familiar with systems architecture, software engineering, databases, and system design.
  • Mathematics: As an essential component of big data analytics, mathematics plays a key role in the analysis of data. A student must have a strong understanding of linear algebra, calculus, and probability theory. Additionally, they should have a basic understanding of numerical analysis, statistics, and optimization.
  • Statistics: Statistics is a critical component of big data analytics. Students must have a firm grasp of basic descriptive statistics, such as measures of central tendency and dispersion, as well as inferential statistics, such as hypothesis testing. Additionally, a student should be familiar with probability models, regression analysis, and experimental design.
  • Data Management and Warehousing: In order to effectively analyze big data, a student must have an understanding of data management and data warehousing. This includes knowledge of the different types of databases, data storage solutions, and data access strategies. Additionally, a student should be familiar with data cleaning and data preprocessing techniques.
  • Big data analytics is a complex area of study that requires a comprehensive understanding of computer science, mathematics, statistics, and data management. A student should have a solid foundation in each of these areas in order to effectively analyze big data.

  • 1. Programming Skills: The ability to code (in languages such as Python, R, Java, etc.) is essential for big data analytics.
  • 2. Database Skills: An understanding of databases and how to work with them is essential for big data analytics.
  • 3. Statistics: An understanding of basic statistical concepts such as probability, distributions, and regression analysis is essential for big data analytics.
  • 4. Machine Learning: An understanding of machine learning algorithms such as decision trees, neural networks, and support vector machines is essential for big data analytics.
  • 5. Data Visualization: The ability to create visualizations to make sense of data is essential for big data analytics.
  • 6. Data Management: The ability to store, manage, and access large datasets is essential for big data analytics.
  • 7. Cloud Computing: An understanding of cloud computing and its associated technologies is essential for big data analytics.

Big Data Analytics Highest Salary Package Range:

The highest salary package for a Big Data Analytics can range from Rs 90,000 to over Rs 200,000, depending on the experience and skills of the individual, specific job requirements, and the size and location of the company. The highest salaries are typically found in larger, more established companies, in high-tech hubs such as Silicon Valley, New York City, and Chicago, with the most in-demand skills commanding the greatest rewards.

A Big Data analyst with high-level skills, such as expertise in Hadoop, Apache Spark, and other big data platforms, as well as strong programming, analytics, and communication skills, could command a salary package of up to Rs 200,000. Those with more general big data skills, such as data mining, data warehousing, and data visualization, could command salaries of up to Rs 120,000.

Big Data Analytists with fewer years of experience, or those working for smaller companies, could expect salaries of around $90,000. However, salaries increase significantly with experience and with the size of the company. To salary, many Big Data Analytists receive bonuses, stock options, and other incentives, which can significantly increase their total compensation package.

Online Classes:

Our ACTE Online classes for Big Data Analytics provide many benefits to those interested in gaining a deeper understanding of the rapidly evolving world of data and analytics. With an online course, students can learn from the comfort of their own home and at their own pace, without having to worry about commuting to and from a classroom. Online classes also provide a flexible learning environment, allowing students to take classes at any time of the day or night, making them easier to fit into a busy schedule. For those who want to further their education in Big Data Analytics, online classes provide a convenient and cost-effective way to gain the knowledge, skills, and experience needed to become a successful data analyst. With an online course, students can learn at their own pace, while gaining access to a wide range of course materials, tutorials, and resources that can be used to gain a better understanding of the subject matter and apply it in real-world scenarios.

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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 Data Science
  • Analytical Terminology, Analytical Methodology
  • Introduction to SAS, R, R-studio interface
  • Data Collection, Creating Datasets
  • Reading Data From External Files (.Txt, .Xls, .Csv) — Tasks
  • Data Exploration: Proc Print, Proc Contents —Tasks
  • Data Exploration: ProcGchart, ProcGplot —- Tasks
  • Data Exploration: Statistical Terminology
  • Data Exploration: Understanding Probability
  • Data Exploration : Analyzing Categorical Data (ProcFreq) — Tasks
  • Data Exploration : Hypothesis, Types of Errors
  • Data Preparation: Arranging the data: Proc Sort, Proc Format-Tasks
  • Data Preparation: Keeping, Dropping, Renaming, Transposing
  • Data Preparation: Using SAS Functions — Tasks
  • Data Preparation: Conditional Processing, By group Processing -Tasks
  • Data Preparation: Combining Data sets — Tasks
  • Data Preparation: Do-Loops, Arrays
  • Statistics: ProcFreq
  • Statistics: ProcTtest, ProcAnova
  • Proc Npar1way
Module 2
  • Data Mining: Introduction
  • Introduction to Regression: ProcCorr, ProcReg
  • Dimensionality Reduction Techniques: Proc Factor
  • Dimensionality Reduction Techniques: ProcPrincomp
  • Dimensionality Reduction Techniques: ProcDiscrim
  • Clustering: Introduction
  • Clustering case study — Task
  • Association Rules — Introduction
  • Association Rules — Case study: Task
  • Density Estimation: Proc KDE
Module 3
  • ProcReg: Case study — Task
  • ProcReg: Model Diagnostics — Task
  • Introduction to Logistic Regression
  • Proc Logistic -Case study, — Task
  • Introduction to Decision Trees
  • ProcDtree, Case study — Task
  • Introduction to SVM, Naive Bayes, Case study
  • Introduction to Neural nets,
  • Neural Nets – the Case study
  • Introduction to KNN, Case study — Task
  • Introduction to Bagging and Boosting
  • Ensemble methods Case study
  • Reinforcement Learning
Module 4
  • Introduction to Time series
  • Proc Arima — Case study — Task
  • Introduction to Text Analytics
  • Sentiment Analysis in R — Case study
  • Introduction to Optimization
  • Optimization — Case study
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Hands-on Real Time Big Data Analytics Projects

Project 1
Big Data for Cybersecutity Project.

Big data analytics in security involves the ability to gather massive amounts of digital information to analyze, visualize and draw insights that can make it possible to predict.

Project 2
Anomaly detection in cloud servers Project.

An anomaly detection algorithm based on SOM for the Cloud platform with large-scale virtual machines and results showed strong improvements in detection accuracy and speed.

Project 3
Tourist behaviour analysis Project.

This Analysis Project aims to design and evaluate a big data analytics method to support strategic decision-making in tourism destination management.

Project 4
Credit Scoring Project.

Objectives is to evaluate the scope of applying Logistic Regression and various Data Minging techniques in Credit Scoring facilitating better decision making to reduce the Risk.

Our Engaging Hiring Partners for Placements

ACTE Big data Analytics Bangalore attains for Methods, Applicability, and Products, Big data Analytics. Human resource software administration, database management, and business training are generally included. Big data Analytics Placement opportunities is available as a stand-alone course. as add-on to every student / professional who completed our classroom or online training. Some of our applicants are working in these companies listed below.

  • We've partnered with over 1000+ small and large businesses to provide you with opportunities to kick-start and advance your career in HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our applicants in top MNCs across the world
  • We give unique student placement portal where you will find all of the interview schedules and be notified via email.
  • After successful completion of the training, ACTE provides F2F interaction, interview preparation and 100% placement help to qualifying applicants.
  • Big data Analytics Trainers assist students in developing their resume matching the current industry needs
  • ACTE's Big data Analytics Certification Training is crafted by industry specialists to satisfy industry standards.
  • We will schedule Mock interviews and group discussions were held every week to find out the GAP in Candidate Knowledge

Get Certified By Big Data Analytics & Industry Recognized ACTE Certificate

All massive international firms across the world accredit ACTE Certification. Freshers as well as corporate trainees can leverage the power of our services after the fulfillment of the theoretical and practical sessions with us. Business success depends on the use of data and big data analytics. Data initiatives can be difficult to implement without the correct team and expertise. This is evident in the growing demand for big data and analytics skills and certifications.

Our accreditation at ACTE is known worldwide. We are a member of the American Committee on School Leaders. This certification elevates the value of your resume and can help you land a position at one of the world's major MNCs. Only after graduating from our Big Data Analytics undergraduate website and practical-based studies will you be awarded a certification.

The fundamentals of Big Data certifications include:

  • 1. Understanding the fundamentals of Big Data and the technologies used.
  • 2. Learning about data analysis, data mining, and business intelligence tools.
  • 3. Becoming familiar with data storage and management concepts.
  • 4. Understanding Hadoop and HDFS.
  • 5. Understanding the different types of Big Data applications, such as Machine Learning, Natural Language Processing, and Predictive Analytics.
  • 6. learning the concepts of ETL and data engineering.
  • 7. Understanding the principles of data visualization.
  • 8. Becoming aware of the security and privacy issues associated with Big Data.

A Learning Big Data Analyst should have a solid understanding of data analysis processes, a strong background in computer science or engineering, and experience working with large datasets. They should have a good eye for data trends and be able to use a variety of software tools to analyze the data. Knowledge of programming languages such as Python and SQL is also important. Learning Big Data Analysts should have strong communication and problem-solving skills, as well as a passion for learning new technologies.

Big Data Analytics courses are important in 2023 because data is becoming more and more important to businesses. In order to make use of this data, organizations need to have access to the skills and knowledge to analyze it. Big Data Analytics courses can give students the tools they need to understand and leverage the data they have to make better decisions, improve efficiency, and gain a competitive advantage. Additionally, Big Data Analytics courses can help students understand the latest technologies and techniques that are necessary for processing and analyzing large amounts of data.

The amount of time it takes to learn big data analytics and become certified depends on the student's dedication, the type of course they are taking, and the certification they wish to obtain. Generally, it can take anywhere from 3 to 6 months to complete a certification program.

The scope of certification for Big Data analytics typically includes topics such as data engineering, data mining, machine learning, data visualization, and a variety of other analytics-related topics. It also includes an understanding of the Big Data ecosystem, such as Hadoop, Spark, and related technologies. Additionally, a certified Big Data analyst should have a good understanding of the fundamentals of database technologies, statistics, and the specific analytics techniques used in the field.

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Concerning Qualified Big Data Analytics Trainer

  • Our Big data Analytics Training in Bangalore. Real-time Certified Professionals with 9+ years of programming and coding experience in their respective domain as well as they are currently working with Top MNCs.
  • Our Trainers work on real-time projects that will allow you to get valuable experience.
  • Our Tutors have Big data Analytics domain knowledge and offers a variety of training options for applicants, including Classroom instruction is available,Training on an individual basis,Online training with a live instructor Customized training.
  • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
  • Trainers are also help candidates increase your chances of being hired by showcasing your real time project experience and Internal Hiring process.
  • Our trainers have strong Theoretical & Practical Knowledge expertise and up-to-date knowledge of real-world industrial applications providing Best Big data Analytics training to the students.
  • We have received several prestigious awards for Big data Analytics Training in Bangalore from recognized IT organizations.

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

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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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