Free Big Data Course for BCA with Certificate
What will you take home from this Free Big Data Analytics Course?
- Self paced video-based course
- Complete study materials, practicals, quizzes, projects
- Acquire practical knowledge which industry needs
- Practical Big Data Analytics course with real-time case-studies
- Lifetime access with industry-renowned certification
Why should you enroll in this Free Big Data Analytics course for BCA?
- Big Data analytics expertise is highly sought after in a number of sectors
- In today’s data-centric business climate, the course equips students with the critical ability to make well-informed decisions based on data analysis
- Graduates can choose from a wide range of professional pathways because of the versatility of big data analytics, which has applications in a variety of industries
- Graduates with a background in big data technologies have an advantage in the labor market when applying for jobs requiring the ability to analyze and understand data
- Because the course is hands-on, students can apply analytical tools to big datasets to solve real-world challenges, which fosters critical thinking and problem-solving skills
- Since the subject of big data analytics is always changing, lifelong learning is crucial
- The curriculum is built to address new developments in big data trends and technologies, equipping students to adjust to the changing data analytics landscape and keep up with business developments
- Students gain experience with Hadoop, Spark, and data visualization platforms through hands-on exercises and projects
About Big Data Analytics Course for BCA
The Big Data Analytics course is a revolutionary educational initiative created to give students the know-how and abilities needed to fully realize the enormous potential of large datasets. This free Big Data Analytics course, which is tailored for BCA students, explores the ideas, resources, and techniques needed to efficiently process and comprehend vast amounts of data. Students are prepared for the dynamic world of data analytics by gaining insights into data storage, retrieval, and analysis strategies through a comprehensive program.
The emphasis on practical learning that the Big Data Analytics course for BCA places is one of its main characteristics. Students work on practical projects, complete case studies in real life, and participate in simulations that mimic the difficulties found in the big data world. By using this method, graduates are guaranteed to grasp both the theoretical underpinnings and the practical abilities needed to navigate complex datasets and extract insightful information. Students who complete the free Big Data Analytics course will have a comprehensive understanding of the entire data analytics process, including a wide range of topics such as machine learning methods, data pretreatment, and data visualization tools.
Moreover, the Big Data Analytics course acknowledges the need in the market for data analytics-savvy people. It is made to make sure that students are ready for the needs of the labor market by keeping up with the latest technological advancements and industry trends. Graduates of this program leave with a skill set that is both highly sought after and adaptable, allowing them to have a positive impact in a variety of industries, including marketing, technology, healthcare, finance, and technology. This is because organizations are depending more and more on data-driven insights for decision-making. All things considered, the online Big Data Analytics course provides an in-depth and useful examination of the approaches and resources necessary for success in the rapidly developing field of data analytics.
Big Data Analytics Course Objectives for BCA
The Big Data Analytics course seeks to accomplish a number of important goals, giving students a comprehensive grasp of the fundamentals and practical applications of big data analytics. Providing students with the technical know-how needed to handle, evaluate, and comprehend massive datasets is one of the main goals. Students will gain expertise in handling the complexity of big data through practical experience with state-of-the-art tools and technologies like Hadoop, Spark, and data visualization platforms. This will equip them for real-world situations where data-driven decision-making is crucial.
Promoting a thorough understanding of data analytics techniques and their real-world application is another important goal. This entails teaching students data preprocessing methods, machine learning algorithms, and statistical analysis. By giving students the tools to extract valuable insights from a variety of datasets, the Big Data course hopes to help them make wise decisions and advance the strategic objectives of businesses. By the end of the online Big Data Analytics course, students should be able to utilize their analytical talents to tackle complex problems in a variety of industries in addition to being skilled at handling big data concerns.
What to do before you begin?
The course on Big Data attributes to numerous opportunities. To ensure these opportunities and turn them into success, here are some prerequisites that we would like you to consider, before beginning this learning journey-
- Since they are essential for comprehending the algorithms and statistical models used in big data analytics, a foundation in basic mathematics and statistics is frequently required.
- It is usually necessary to have a basic understanding of programming, preferably in languages like Python or Java. In addition to being experienced creating and debugging code, students should be conversant with data structures and algorithms.
- Since big data analytics frequently entails searching and modifying data stored in databases, a working knowledge of databases and SQL is essential.
- Understanding the theoretical underpinnings of big data analytics requires a basic understanding of computer science concepts such as algorithms, data structures, and computer architecture.
Our students are working in leading organizations
Online Big Data Analytics Free Training Course Curriculum for BCA
- Introduction to distributed file system – Big Data and its importance
- Four Vs, Drivers for Big data and Big data analytics
- Big data applications and Algorithms using map reduce
- Matrix-Vector Multiplication by Map Reduce
- Big Data – Apache Hadoop & Hadoop EcoSystem
- Moving Data in and out of Hadoop
- Understanding inputs and outputs of MapReduce
- Data Serialization
- Hadoop Architecture and Hadoop Storage
- HDFS, Common Hadoop Shell commands , Anatomy of File Write and Read.
- NameNode, Secondary NameNode, and DataNode
- Hadoop MapReduce paradigm, Map and Reduce tasks
- Job, Task trackers – Cluster Setup and SSH & Hadoop Configuration
- HDFS Administering, Monitoring & Maintenance
- Hadoop ecosystem components and Schedulers\
- Fair, Capacity and Hadoop 2.0 New Features
- NameNode High Availability and HDFS Federation
- MRv2, YARN, Running MRv1 in YARN
- Hive Architecture and Installation
- Comparison with Traditional Database
- HiveQL, Querying Data, Sorting And Aggregating
- Map Reduce Scripts, Joins & Subqueries
- HBase concepts- Advanced Usage, Schema Design, Advance Indexing
- PIG, Zookeeper – how it helps in monitoring a cluster
- HBase uses Zookeeper and how to Build Applications with Zookeeper
Features of Free Big Data Analytics Course for BCA
Big Data Analytics Online Training FAQs
Enrolling in a free Big Data Analytics course presents a special chance to get highly sought-after abilities that are essential in the data-driven world of today. It improves your chances of landing a job since it gets you ready for positions in business intelligence, machine learning, and data analysis.
Graduates of programs in big data analytics can work in a variety of fields, including business intelligence, machine learning, data science, and analytics. The knowledge and abilities acquired can be used in a variety of fields, including technology, healthcare, and finance.
Understanding business principles will be helpful depending on the Big Data course, particularly if you want to use big data analytics for decision-making and business intelligence. Business use cases are frequently incorporated into the course to show how analytics can be applied practically to address actual business problems.
DataFlair’s exclusive online Big Data Analytics course has a strong emphasis on experiential learning via real-world tasks, projects, and simulations. This method guarantees that students get hands-on experience using big data tools and technologies in addition to understanding theoretical principles.
Big Data Analytics course includes pertinent tools, technologies, and processes in order to meet market demands. To make sure that students are adequately equipped to apply their abilities in real-world scenarios that are frequently faced in professional settings, they frequently combine real-world case studies and projects.
Although having programming skills is advantageous, our Big Data Analytics course is built to accept students with different degrees of programming knowledge. Nonetheless, it can be helpful to have a fundamental grasp of programming ideas, ideally in languages like Python or Java.