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Big Data Analytics Courses In Pune

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Get the Impactful With Big Data Fundamentals

  • ACTE offers a wide range of Big Data Analytics Training for aspiring prospective candidates.
  • The training is given by experienced Mentors who have very high expertise in the field of Big Data Analytics.
  • We organize lots of Big Data Analytics-related courses, seminars, practical training and industry conferences.
  • Students learn to create attractive visual representations of complex data sets using modern tools and techniques.
  • To improve their job potential, students get the chance to work on real-world projects while getting industry exposure.
  • Students learn about data processing and manipulation techniques, including data cleaning, transformation, and integration.
  • Students are going to develop significant professional knowledge and skills as a result of the Trainers' practical industrial experience.
  • So What are you still waiting for? Kick-start your career in the Big Data Fundamentals Course- To join Our Classes, Contact Us Today!!!
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs


Course Objectives

  • Hadoop
  • Spark
  • Apache Kafka
  • SQL
  • Python

Yes, pursuing a Big Data Analytics course can be a highly rewarding career path as it offers strong job prospects, competitive salaries, and opportunities to work across diverse industries, where the demand for data-driven insights and decision-making continues to grow.

  • Data collection
  • Data storage
  • Data processing
  • Scalability
  • Machine learning

Though coding skills may not be the main focus of big data analytics, they are still necessary for those who work in the field.

  • Data Scientist
  • Big Data Engineer
  • Data Architect
  • Hadoop Administrator
  • Data understanding
  • Programming knowledge (Python or R)
  • Statistics and probability
  • Database and SQL skills

Courses on Big Data Analytics offer valuable skills for working with large datasets, making data-driven decisions, and advancing your career in a data-driven world.

What are the advantages of Big Data Analytics?

  • Data-driven decision-making.
  • Enhanced customer experience.
  • Improved operational efficiency.
  • Competitive advantage.

Mention the skills necessary to work as a Big Data Analyst?

  • Data Analysis
  • Programming Languages
  • Big Data Technologies
  • Data Visualization

What will be the future scope of the Big Data Analytics Course?

The future scope of Big Data Analytics is bright, with increasing demand for professionals who can harness data insights to solve complex business challenges and drive data-centric decision-making across industries, leading to continued growth and career opportunities in this field.

Which industries often hire experts with Big Data Analytics?

  • Technology
  • Finance and Banking
  • Healthcare
  • Retail and E-commerce
  • Marketing and Advertising
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Overview of Big Data Analytics

Big Data Analytics training in Pune offer comprehensive training on various aspects of big data analysis. The courses typically cover topics such as data mining, data visualization, machine learning, and statistical analysis. Participants learn to work with popular tools and technologies like Hadoop, Spark, and Python for data processing and analysis. The courses provide hands-on practical experience through projects and case studies. Additionally, some courses may include modules on data management, data governance, and data ethics. The objective is to provide participants with the abilities and information required to reach conclusions from huge datasets and make data-driven decisions.


Additional Info

The Advantages of Big Data Analysis:

Big data offers several benefits to organizations. Some of the key benefits include:

  • Improved Decision-Making: Big data analytics provides organizations with valuable insights that support data-driven decision-making. Businesses may find patterns, trends, and correlations by analyzing big and varied information, which enables them to make more educated and precise choices.

  • Enhanced Operational Efficiency: Big data analytics makes it easy for businesses to simplify operations, optimize resource allocation, and increase overall efficiency by identifying bottlenecks and waste in business processes. This can lead to cost savings, improved productivity, and better resource utilization.

  • Personalization and Customer Experience: Businesses may gain a detailed understanding of client preferences, behavior, and demands by using big data. Businesses may improve consumer satisfaction and loyalty by personalizing products, services, and promotions based on this data.

  • Identification of New Business Opportunities: Big data analysis may provide valuable information and patterns that may help find new business prospects. By identifying emerging market trends, customer demands, and unmet needs, organizations can adapt their strategies and develop innovative products and services to stay ahead of the competition.

  • Improved Risk Management: Organizations can detect and reduce possible risks and fraud with the use of big data analytics. By analyzing large volumes of data in real time, businesses can detect anomalies, patterns of fraudulent behavior, or potential risks, enabling them to take proactive measures to mitigate and manage those risks effectively.

  • Better Resource Planning: Big data analytics assists organizations in forecasting demand, optimizing inventory levels, and improving supply chain management. By analyzing historical data, market trends, and other relevant factors, organizations can make accurate predictions and optimize their resource planning, resulting in cost savings and improved operational efficiency.

  • Advancements in Research and Development: Big data analytics plays a important role in research and development efforts. It allows researchers to analyze large datasets, conduct simulations, and identify patterns that can promote innovation and scientific advancements in various fields, including medicine, genetics, climate studies, and more.

How to become a Big Data Analyst:

The steps To become a Big Data Analyst are as follows,

  • Obtain a relevant educational background: A firm basis can be given by a bachelor's or master's degree in a field like computer science, data science, or statistics. It will be useful to take courses in data analysis, statistics, programming, and database administration.

  • Develop programming and analytical skills: Get skilled in computer languages including Python, R, SQL, and Java which are often used in big data analytics. Learn about tools for data analysis, visualization, and manipulation including Tableau, NumPy, and pandas.

  • Learn big data technologies and tools: Learn more about the Apache Hadoop and Apache Spark large data processing technologies, and other major NoSQL databases like MongoDB, Cassandra, and Elasticsearch.

  • Gain hands-on experience: Seek opportunities to work on real-world projects involving big data analysis. This can be performed through personal initiatives, freelancing, or internships. Practical experience will enhance your skills and provide valuable insights into working with large datasets.

  • Master data analysis techniques: Deepen your understanding of data analysis methodologies such as data cleaning, preprocessing, exploratory data analysis (EDA), statistical analysis, machine learning algorithms, and predictive modeling. Learn to apply these techniques to extract meaningful insights from big data. Big data analytics and Power BI Training are two important topics in the field of data analysis and visualization.

  • Stay updated with industry trends: Keep yourself informed about the latest advancements, tools, and techniques in the field of big data analytics. Follow industry publications, attend conferences, join online communities, and participate in relevant courses or certifications to stay current.

  • Showcase your skills: Prove your analytical prowess, problem-solving talents, and knowledge of data by creating a collection of your work. This can include GitHub repositories, Kaggle competition submissions, or a personal website to demonstrate your expertise to potential employers.

  • Network and seek opportunities: Connect with professionals in the field through netwowhichg events, industry conferences, and online communities. Leverage platforms like LinkedIn to build your professional network and stay informed about job openings or internships in the big data analytics domain.

  • Continuous learning: Big data analytics is a rapidly evolving field, so it's essential to embrace lifelong learning. Stay curious, explore new techniques, and continue to upgrade your skills as new technologies and methodologies emerge.

  • Consider certifications: While not mandatory, certifications can validate your skills and knowledge in big data analytics. Certifications from reputable organizations like Cloudera, Hortonworks, or IBM can enhance your credibility and marketability as a Big Data Analyst.

A Career in Big Data Analytics is a Great Opportunity:

Yes, a career in Big Data Analytics offers excellent opportunities in today's data-driven world. These are some reasons why it is an effective professional choice:

  • Growing Demand: The demand for professionals with expertise in Big Data Analytics continues to rise. Organizations across industries are seeking skilled data analysts to help them extract insights from large datasets and drive data-informed decision-making.

  • Job Prospects: Big Data analytics provides plenty of career opportunities. Numerous businesses, like marketing, e-commerce, finance, and health care, have openings. Data analytics is being accepted by large corporations and start-ups, giving up a variety of job options.

  • Competitive Salaries: Big Data Analytics professionals are in high demand, and the scarcity of skilled individuals often leads to attractive salary packages. Organizations are ready to pay experts who can deliver such findings at reasonable rates as they grow aware of the value of data-driven insights.

  • Career Growth and Advancement: Big Data Analytics is a rapidly evolving field, offering ample opportunities for career growth. With continuous learning and upskilling, you can progress from entry-level positions to senior roles, such as Data Scientist, Data Engineer, or Analytics Manager.

  • Impactful Work: Big Data Analytics allows you to work with vast amounts of data and uncover meaningful insights that can drive significant impact for businesses. Your work can contribute to improving processes, identifying opportunities, optimizing strategies, and ultimately making a tangible difference.

  • Continuous Learning and Innovation: In the field of Big Data Analytics, there is always something new to learn. With evolving technologies, tools, and techniques, you have the opportunity to continuously learn and stay at the forefront of data analytics innovation. This makes the field intellectually stimulating and keeps your skills relevant.

  • Future Growth Potential: As data production increases and technology like artificial intelligence and machine learning develop, the value of big data analytics will also increase. By establishing yourself in this field, you position yourself for long-term career growth and stability.

The Tools used in Big Data Analytics:

Software programs and frameworks that make it simpler to deal with, analyze, and visualize big and complicated datasets are known as tools for big data analytics. These tools are designed to handle the unique challenges posed by big data, such as volume, velocity, variety, and veracity. The Following are some commonly used tools:

  • Apache Hadoop: A free platform allowing large data processing and storage spread over a cluster of machines. It includes Hadoop Distributed File System (HDFS) and MapReduce for efficient data management and parallel processing.

  • Apache Spark: A fast and scalable data processing engine that supports both batch and real-time processing. It provides an in-memory computing capability, making it well-suited for iterative algorithms and interactive analytics.

  • Apache Kafka: A distributed streaming platform that allows the handling and processing of high-throughput, real-time data streams. It enables data ingestion from various sources and facilitates real-time analytics.

  • Apache Hive: an Apache-based data warehouse architecture with a SQL-like query language for accessing and analyzing big datasets kept in the Hadoop Distributed File System (HDFS).

  • Tableau: A data visualization tool that enables the creation of interactive dashboards and reports. It connects to various data sources, including big data platforms, allowing users to explore and present data visually.

  • Python: A versatile programming language commonly used in data analytics. It provides expert tools for data manipulation, analysis, and machine learning, including Pandas, NumPy, and Scikit-Learn.

  • R: A programming language that comes with various tools for statistical modeling, data analysis, and visualization. It is often used in statistical analysis and data science.

The Applications for Big Data Analytics:

Big Data Analytics finds applications in various industries and sectors. Following are some common applications:

  • Business Intelligence: Big Data analytics allows firms to get to know consumer behavior, market trends, and operational efficiency. It helps with making strategic decisions, finding new possibilities, and increasing performance.

  • Healthcare: Big Data Analytics enables the analysis of large volumes of patient data, electronic health records, and medical research data to improve disease diagnosis, treatment outcomes, and personalized medicine.

  • Financial Services: It helps in fraud detection, risk assessment, credit scoring, and investment analysis by analyzing large volumes of financial data and market trends.

  • E-commerce and Retail: Big Data Analytics enables personalized product recommendations, customer segmentation, inventory optimization, and supply chain management, leading to improved customer experiences and increased sales.

  • Manufacturing and Supply Chain: It helps optimize production processes, monitor equipment performance, and improve supply chain efficiency by analyzing sensor data, logistics data, and demand patterns.

  • Internet of Things: Big data analytics is essential in evaluating the enormous quantity of data produced by IoT devices to enable predictive maintenance, smart city management, and real-time asset monitoring.

  • Social Media Analysis: It helps analyze social media data to understand customer sentiment, conduct market research, and target advertising campaigns effectively.

  • Energy and Utilities: Big Data Analytics is utilized for analyzing energy consumption patterns, optimizing energy distribution, and improving energy efficiency.

  • Government and Public Sector: It helps in the analysis of massive data sets for the development of policies, disaster response, criminal analysis, and public health monitoring.

  • Sports Analytics: Big Data Analytics is used to analyze player performance, optimize team strategies, and enhance fan engagement in sports.

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Key Features

ACTE Pune 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 Courses in Pune
Module 1: Introduction to Big Data Analytics
  • Understanding the concept of big data
  • Characteristics and challenges of big data
  • Introduction to data analytics and its importance
Module 2: Data Management and Storage
  • Overview of distributed file systems (Hadoop HDFS)
  • Data storage and retrieval using NoSQL databases (MongoDB, Cassandra)
  • Data ingestion and extraction techniques
Module 3: Big Data Processing Frameworks
  • Introduction to the Apache Hadoop Ecosystem
  • Hadoop MapReduce and Apache Spark fundamentals
  • Data processing with Apache Hive and Apache Pig
Module 4: Data Preprocessing and Cleaning
  • Data quality and data cleaning techniques
  • Handling missing data and outliers
  • Data transformation and normalization
Module 5: Big Data Analytics Techniques
  • Exploratory data analysis (EDA)
  • Descriptive and inferential statistics for big data
  • Machine learning algorithms for big data analysis
Module 6: Data Visualization and Reporting
  • Introduction to data visualization tools
  • Design Principles for effective visualizations
  • Creating interactive dashboards and reports
Module 7: Big Data Mining and Predictive Analytics
  • Association rule mining and recommendation systems
  • Clustering and classification techniques
  • Introduction to predictive modeling and forecasting
Module 8: Real-time Data Analytics
  • Stream processing and real-time analytics
  • Apache Kafka for real-time data processing
  • Building real-time analytics applications
Module 9: Big Data Security and Privacy
  • Challenges and Strategies for securing big data
  • Privacy Concerns and ethical considerations
  • Anonymization and encryption techniques
Module 10: Case Studies and Projects
  • Analyzing large-scale datasets using big data tools
  • Implementing end-to-end big data analytics projects
  • Hands-on experience with real-world datasets
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Hands-on Real Time Big data Analytics Projects

Project 1
IoT Data Analysis

Analyse information from Internet of Things (IoT) gadgets to gain insights into device performance or environmental conditions.

Project 2
Market Basket Analysis

Generate insights into which products are often purchased together to improve cross-selling and promotions.

Stimulate Your Career With Our Big Data Placement

The aim of the placement opportunities offered by ACTE Pune is to give individuals access to hands-on Big Data Analytics training in a classroom setting or online, allowing them to gain industry exposure.
  • Our Placement aims to provide training and open doors to career opportunities in the data analytics sector.
  • This course assures that you will get help for Big Data placement opportunities in the top multinational companies.
  • You will get an opportunity to interact with industrial experts who might be highly beneficial for your career development.
  • Our ACTE Trainers will assist candidates in preparing their profiles in accordance with developing current business regulations.
  • We provide student with career guidance and mentorship, helping you identify your strengths, and explore career paths in the field.
  • From small start-ups to major international corporations, we have close relationships with a variety of top multi-national companies.

Get an Industry-Recognized Big Data Certification

All major corporations all around the world accepted Acte Certification. We offer to newcomers as well as business trainees once the theoretical and practical sessions are over. Acte's certification is recognized all around the world. With the help of this degree, you could get great positions in well-known MNCs throughout the globe, increasing the value of your resume. Only after successfully completing our training program will the certification be granted. Big Data certification are professional credentials that validate individuals' skills and knowledge in the field of Big Data analytics. These certifications demonstrate proficiency in working with large and complex data sets, utilizing data processing technologies, and deriving valuable insights from data.

Obtaining a Big Data Analytics certification significantly improves your chances of finding rewarding work in the field, as it demonstrates your expertise and commitment to the industry, making you an attractive candidate for employers.

  • Industry recognition and credibility.
  • Enhanced career opportunities and advancement.
  • Validation of skills and knowledge.
  • Access to networking opportunities.
  • Stay current with industry trends.
  • Research certification options.
  • Prepare and acquire required skills.
  • Enroll and study.
  • Pass the certification exam or course.
  • Obtain certification.
  • SAS Certified Big Data Professional
  • AWS Certified Big Data - Specialty
  • Hortonworks Certified Associate (HCA)
  • MapR Certified Data Analyst (MCDA)
  • Oracle Big Data Certification

Prerequisites may vary depending on the certification program, but typically, a basic understanding of programming, statistics, and database concepts is beneficial. Some certifications may require prior experience in data analysis or related fields./p>

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

Inspire Your Profession With Our Big Data Trainer

  • Big Data Analytics courses in Pune are instructed by trainers with more than ten years of working experience and knowledge in the industry.
  • Our trainers provide personalized guidance and encouragement to the each and every students throughout the Big Data Analytics training program.
  • Our trainers have years of expertise and knowledge in the field's practical applications and have worked on several projects including data-related problems.
  • By organizing industry visits, inviting guest speakers, and creating partnerships with companies, our trainer helps students by providing with career opportunities.
  • Big Data trainer remain up to date on the most recent developments in Big Data Analytics tools and techniques, which is essential in analyzing and creating ideas from complex datasets.

Big data Analytics Course Reviews

Our ACTE Pune 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

Thank you for great support. I have joined ACTE Institute for Big Data Analytics Online Training. The trainer was awesome and very helpful. Finally, in my words, ACTE is the best to learn for Big Data Analytics.


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 ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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