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Big Data Analytics Course In Hyderabad

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  • Get Best Practices on Novice to Advanced level Classes.
  • Delivered by 10+ years of Big Data Analytics Certified Expert
  • Access to Trendy Projects and Self-paced Research Materials.
  • Gaining Practical Experience and Expertise to Face Job Interviews With Enthusiasm.
  • Commitment to Developing Successful and Well-organized Careers for Learners.
  • Next Big Data Analytics Batch to Begin this week – Enroll Your Name Now!

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Upcoming Batches

05- Jun - 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

07- Jun - 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

10- Jun - 2023

Weekend Regular

(10:00 AM - 01:30 PM)

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

10- Jun - 2023

Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

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Mastering Big Data and Analytics: A Comprehensive Training Program

  • Big Data Analytics is the process of analyzing large and complex data sets to extract valuable insights.
  • The course provides hands-on training in various tools and technologies such as Hadoop, Spark, and NoSQL databases.
  • By taking this Course, individuals can gain the necessary skills and knowledge to stand out in the job market and advance their career.
  • Big Data and Analytics help students to handle large amounts of data and covers topics such as data mining, data warehousing, and data visualization.
  • The benefit of Big Data Analytics is that it assists organizations in making better decisions by discovering patterns and trends that may not be immediately obvious.
  • Hyderabad has many top-tier institutes that offer courses in Big Data Analytics. These institutes provide access to cutting-edge technologies and tools that can enhance the learning experience.
  • Data Analytics course is typically delivered through a combination of lectures, practical exercises, and case studies. Lectures provide theoretical foundations, explaining concepts, methodologies, and techniques used in Big Data Analytics.
  • Hands-on training, interactive sessions, and expert feedback in Data Analatycs courses equip graduates with practical skills highly valued by employers. This gives them ample opportunities to enter the job market with confidence.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs


Course Objectives

Big Data Analytics is a fast expanding field that is in high demand across many sectors..It makes it possible for you to examine huge, intricate data sets to find undiscovered patterns and insights that can influence business choices. Learning big Data Analytics can give you a competitive edge in the job market and enhance your career prospects.

The prerequisites to enroll in a Big Data Analytics Course in Hyderabad may vary from institute to institute, but generally, a strong background in mathematics, statistics, and computer science is preferred.

The classes for a Big Data Analytics Course in Hyderabad may be delivered through a combination of lectures, practical exercises, case studies, and projects. Some institutes may also offer online or self-paced learning options.

The different topics covered in a Big Data Analytics Course in Hyderabad may include data mining, data warehousing, data visualization, machine learning, Hadoop, Spark, and NoSQL databases, among others.

The duration of a Big Data Analytics course can vary, typically ranging from a few weeks to several months, depending on the course level and intensity. Short-term crash courses provide an introductory overview, while certification programs offer a more comprehensive understanding of Big Data Analytics.

After completing a Big Data Analytics Course in Hyderabad, there are many job opportunities available in various industries such as healthcare, finance, marketing, and more. Some job titles include data analyst, data scientist, big data engineer, and business analyst.

Are there any placement services offered by the institutes for Big Data Analytics Courses?

Yes, many institutes in Hyderabad offer placement services for students who have completed a Big Data Analytics Course. These services may include job fairs, on-campus interviews, and career counseling.

How do institutes in Hyderabad stay current on the newest Big Data Analytics Technologies?

Institutes in Hyderabad keep up with the newest trends and technology in Big Data Analytics by continually assessing and upgrading their curriculum, undertaking research and development activities, partnering with industry professionals, and participating in conferences and seminars.

What kinds of real-world projects do students get to work on during the Course?

Students may get to work on real-world projects such as analyzing large data sets, building predictive models, developing data visualizations, and implementing big data solutions for businesses during a Big Data Analytics Course in Hyderabad. These projects give students hands-on experience and help them acquire practical skills that they may use in the job.

What are some popular tools used in Big Data Analytics?

There are many popular tools used in Big Data Analytics, including Hadoop, Spark, Pig, Hive, and Cassandra.

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Overview of Big Data Analytics

Big Data Analytics has transformed the way businesses operate in the digital era, and Hyderabad has become a hub for quality big Data Analytics training. Several reputable institutions and training centers in the city offer comprehensive courses covering various topics such as data mining, data warehousing, and predictive modeling. Students are trained in tools and technologies such as Hadoop, Spark, Python, R, SQL, and Tableau. which are essential for big Data Analytics. The experienced trainers and mentors in Hyderabad bring their industry experience to the classroom, providing personalized attention and guidance to students. Hyderabad's thriving IT industry and multinational companies provide ample opportunities for practical experience, with internships, projects, and placements. Students can take advantage of these opportunities to get exposure to the latest trends and technologies in the field, making it a conducive environment for learning and growth. With the right training and skills, students can build a successful career in this exciting and dynamic field.


Additional Info

The Main Importance of Big Data Analytics

Big data analytics has become increasingly important in today's fast-paced world, where the exponential growth of data being generated every day makes it essential to make sense of it all. By analyzing large volumes of structured and unstructured data, Big Data Analytics can reveal important information about customer behaviour, market trends, and business success. helping businesses make informed decisions, improve operations, and gain a competitive edge. One of the most significant advantages of Big Data Analytics is its ability to improve customer experience by analyzing customer data to gain a deeper understanding of their needs, and preferences. Additionally, Big Data Analytics can play a crucial role in business intelligence and healthcare, helping organizations gain a holistic view of their operations and make more accurate forecasts and predictions to improve patient outcomes and reduce costs.

Data Privacy and security in Big Data Analytics

Effective data privacy and security safeguards are not just a legal need, but also a moral and ethical imperative for businesses. Data breaches can result in legal liability and a loss of trust from customers and partners, in addition to potential financial and reputational harm. Companies must therefore be proactive in identifying and mitigating potential security threats, such as conducting regular security audits and teaching personnel on data privacy and security best practises.

Another critical consideration in data privacy and security is compliance with relevant data protection regulations, as in the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). These regulations impose strict requirements on how companies collect, process, and store personal data, and failure to comply can result in significant penalties. Companies must, therefore, stay up-to-date with the latest regulatory requirements and implement appropriate measures to ensure compliance. Finally, companies must also prioritize transparency and communication with their customers and partners regarding their data privacy and security practices. Providing clear and concise information on how data is collected, used, and protected can help build trust and confidence in a company's brand. Companies can also consider implementing privacy-enhancing technologies such as differential privacy and homomorphic encryption to provide additional layers of data privacy and security. Overall, data privacy and security are critical components of any Big Data Analytics strategy. By implementing robust data privacy and security measures, businesses can protect their valuable data from cyber threats, ensure compliance with relevant regulations, and build trust with customers and stakeholders.

Advantages of using big Data Analytics

Big Data Analytics may also assist organizations in remaining competitive by offering insights into industry trends and discovering development prospects. By analyzing data from various sources, Businesses can spot developing trends and modify their tactics accordingly.

  • This may include launching new products or services, targeting new customer segments, or expanding into new markets. In turn, this leads to increased revenue and market share.
  • Furthermore, big Data Analytics can also aid businesses in optimizing their marketing efforts. By analyzing customer data, businesses can personalize their marketing campaigns and tailor them to specific customer segments. This leads to more effective marketing strategies, higher conversion rates, and increased revenue.
  • Finally, Big Data Analytics is also valuable in the field of healthcare. By analyzing patient data, healthcare providers can identify patterns and trends in patient health, leading to more effective treatments and improved patient outcomes. This can lead to better health outcomes, reduced healthcare costs, and a more efficient healthcare system.
  • Overall, Big Data Analytics is a crucial tool for businesses and organizations of all sizes. From improving decision-making to enhancing customer experience and mitigating risks, big Data Analytics provides numerous benefits that can lead to increased efficiency, profitability, and success.

Data Analytics scope and future

Data Analytics has a vast scope and an exciting future. With the growing importance of data in decision-making, Data Analytics is becoming an essential skill for businesses of all sizes and industries. Here are some of the areas where Data Analytics is expected to play a significant role in the future:

1.Artificial Intelligence and Machine Learning: Data analytics will continue to be important in the development of advanced AI and machine learning systems. With the use of Data Analytics, machines can learn and improve over time, making them more accurate and efficient.

2.Internet of Things (IoT): IoT devices generate a vast amount of data that needs to be analyzed to derive insights. Data Analytics will be essential in processing this data and providing meaningful insights to businesses.

3. Healthcare:
Data Analytics will play a significant role in the healthcare industry, enabling doctors and researchers to examine massive amounts of medical data in order to spot trends, patterns, and potential treatments.

4. Customer Experience: By offering insights into customer behaviour, preferences, and wants, Data Analytics will continue to play an important role in improving customer experience. By analyzing customer data, businesses can personalize their offerings, and improve customer satisfaction and loyalty.

5. Cybersecurity: As cyber threats continue to evolve, Data Analytics will become an essential tool in identifying and mitigating security risks. By analyzing vast amounts of data, Businesses can identify possible security threats and take preventative measures.

6. Predictive Analytics:Data Analytics will be essential in predicting future trends, patterns, and behaviors. By analyzing historical data, businesses can predict future outcomes and make informed decisions.

In conclusion, Data Analytics has a vast scope, and its future is exciting. As data continues to play a critical role in decision-making, Data Analytics will become a vital tool for firms of all sizes and industries. By leveraging Data Analytics, businesses can gain a competitive advantage, improve efficiency, and make informed decisions that drive growth and success.

Big Data Analytics' key technologies and methodologies include

Big data has become a hot topic in the world of technology and for good reason. As the amount of data produced by organisations and consumers grows, it has become increasingly important to find ways to analyze and make sense of all of this information. Big Data Analytics comes into play here. Big Data Analytics is the practise of analysing huge and complex data sets in order to discover insights and patterns. This information can be utilised to make better business decisions. There are several key technologies and methodologies that are used in Big Data Analytics. Machine learning involves using algorithms and statistical models to analyze data and identify patterns. This allows businesses to make predictions and recommendations based on the data they have collected.

Another important technology is data mining. Data mining involves using statistical techniques to extract useful information from large data sets. This can include identifying patterns, relationships, and anomalies in the data. Data mining is often used in conjunction with machine learning to help businesses make sense of their data and identify areas for improvement.

Other technologies that are commonly used in Big Data Analytics include natural language processing, which allows computers that can comprehend and interpret human language and predictive analytics, which makes use of statistical models to forecast future outcomes based on past data.

In terms of methodologies, there are several different approaches that can be used in Big Data Analytics. These include descriptive analytics, which focuses on summarizing and visualizing data to gain insights; diagnostic analytics, which involves using data to understand why certain events occurred; predictive analytics, which uses data to make predictions about future events; and prescriptive analytics, which is focused on identifying the best course of action based on data analysis.

Overall, Big Data Analytics is a complicated and varied field that necessitates a thorough understanding of a wide range of technology and approaches. By leveraging the latest tools and techniques, businesses can gain deeper insights into their data and use this information to make better decisions and drive growth.

Data Analytics is a rapidly expanding field that has become a vital component of enterprises across multiple industries. It involves the use of advanced technologies and methodologies to extract meaningful insights from large and complex data sets.

One of the key technologies used in Big Data Analytics is Hadoop. It is an open-source system that enables the distributed processing of big data collections across computer clusters. Hadoop provides businesses with the ability to handle and analyze massive amounts of data, which is essential for making informed decisions. Another key technology used in Big Data Analytics is machine learning.

Machine learning can be used to identify patterns in large data sets, which can be used to make accurate predictions and improve decision-making.> Other key technologies and methodologies used in Big Data Analytics include data mining, predictive analytics, and data visualization. The technique of detecting patterns in big data sets is known as data mining. Data visualisation is the presenting of data in a visual format, such as graphs or charts. to assist organisations in better understanding and interpreting massive data volumes.

In conclusion, Big Data Analytics is a complex and multifaceted field that requires the use of advanced technologies and methodologies to extract meaningful insights from large and complex data sets. The key technologies and methodologies used in Big Data Analytics, such as Hadoop, machine learning, data mining, predictive analytics, and data visualization, are critical in giving businesses the power to make data-driven decisions that can promote development and innovation.

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Key Features

ACTE Hyderabad 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 Hyderabad

Module 1:Introduction to Big Data Analytics

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

Module 2: Data Mining Techniques

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

Module 3:Data Warehousing and ETL

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

Module 4:Big Data Analytics Tools

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

Module 5: Data Visualization

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

Module 6:Algorithms for Machine Learning in Big Data Analytics

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

Module 7:Real-time Big Data Analytics

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

Module 8:Case Studies and Projects

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

Project 1
Health status prediction.

The main aim of this project is to automate the process and predict diseases more accurately machine learn-ing methods are gaining popularity in research community.

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
Malicious user detection in Big Data collection Project.

The purpose of malware analysis is to obtain and provide the information needed to rectify a network or system intrusion and find out exactly what happened.

Project 4
Electricity price forecasting Project.

Electricity price forecasting is a branch of energy forecasting which focuses on predicting the spot and forward prices in wholesale electricity markets.

Big Data Analytics Training With Placement: Developing a Successful Career

Our Big Data Analytics Training program includes comprehensive placement training, featuring experienced tutors guiding students in interview preparation, resume building, and mock interviews.

  • A Data Analytics course with placement allows students to obtain practical experience in the industry through internships, projects, and placements.
  • Experienced trainers and mentors bring their real-world industry experience to the classroom, providing personalized attention and guidance to students.
  • Resume preparation classes, mockup interviews, and interview preparation sessions are conducted to help students prepare for job interviews confidently.
  • Data Analytics is a highly sought-after skill in the job market, with a high demand for professionals who can analyze and interpret vast amounts of data.
  • Successful completion of the course can lead to numerous job opportunities in various sectors, such as finance, healthcare, e-commerce, and more.
  • A Data Analytics course with placement provides students with a head start in their careers, with exposure to the latest tools, techniques, and industry practices.

Big Data Certification Course: Enhance Your Data-Driven Career

At ACTE, our certification holds accreditation by major global companies around the world. The certification enhances your resume and provides you with the opportunity to attain leading job posts in top MNCs worldwide. Our big data certification course is only awarded upon successful completion of our practical-based training and projects. This guarantees that our students receive thorough training that provides them with the skills and information needed to excel in the dynamic industry of data analytics.

A Big Data certification can demonstrate to potential employers that you have the necessary skills and knowledge to work with large and complex data sets. This can give you a competitive edge in the job market and lead to higher salaries and career advancement opportunities.

Most Big Data certification courses require a basic understanding of programming concepts and familiarity with at least one programming language. Some courses may also require knowledge of database management and statistical analysis.

A typical Big Data Analytics certification course covers topics such as data analysis, data visualization, data mining, machine learning, Hadoop, Spark, SQL, and NoSQL databases.

The duration of a Big Data certification course varies depending on the course provider and the level of certification. While some courses may be finished in a few weeks, others might take several months.

The Big Data certification exam typically comprises multiple-choice questions, with a passing score required to achieve certification. Some exams may also include practical exercises or case studies.

There are various types of Big Data certifications available, including vendor-specific certifications such as Cloudera, Hortonworks, and IBM, as well as vendor-neutral certifications such as the Certified Big Data Professional (CBDP) and the Certified Analytics Professional (CAP).

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Expert Big Data Trainers: Empowering Learners for Real-World Success

  • Our trainers are extremely knowledgeable and skilled.
  • Ability to provide career guidance and mentorship to students.
  • Updated knowledge of the latest trends and developments in the field.
  • Encouragement of hands-on learning through practical projects and case studies.
  • They have the ability to communicate complicated concepts in a simplified manner.
  • In-depth knowledge of tools and technologies used in big data analytics such as Hadoop, Spark, Python, R, SQL, and Tableau.
  • Our experienced trainers provide personalized attention and guidance to students, bringing their real-world industry experience to the classroom.
  • Passionate about teaching and helping students succeed in their careers, our institution offers a comprehensive Big Data Analytics Course in Hyderabad.

Big data Analytics Course Reviews

Our ACTE Hyderabad 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

I had completed my Big Data Analytics course at Hyderabad. ACTE is the best place to improve your skills and to move forward in your career. The trainers and faculty here were very friendly and comfortable. My trainer had explained the concept as well as the subject in clear way. Topics are not skipped and trainer ensures that you understand the topic. Thanks to my trainer and ACTE for this wonderful opportunity!


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
    • Gives
    • 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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