Live Online & Classroom Enterprise Training Courses/Certifications
Master all aspects of Big Data & Analytics. Upskill your team and enable them to extract, analyse and interpret from large number of data. Gain an in-depth understanding of Big Data & Analytics with our hands-on training using our cloudlabs, delivered by expert trainers in the industry.
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Live Online: 5 Days
Classroom: Live Online: 5 Days
Big Data Hadoop with Spark Developer focuses on building and managing big data solutions using Hadoop and Apache Spark. It covers data processing, storage, and developing scalable applica...
Master Apache Spark, a fast, in-memory distributed collections framework written in the programming language Scala. This Spark & Scala course will enable candidates to gain an in depth kn...
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Classroom: 4 Days Live Online: 24 Hours
This four-day instructor-led GCP Data Engineering training class provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform.
Live Online: 3 Days
Classroom: Live Online: 3 Days
Data Visualization with Tableau focuses on creating interactive dashboards and visual reports using Tableau. It helps transform data into meaningful insights through charts, graphs, and d...
Apache Kafka is an open-source distributed event streaming platform used to handle real-time data feeds. It enables high-throughput, fault-tolerant messaging for building data pipelines a...
Classroom: 2 Days Live Online: 12 Hours
With SpringPeople’s Hadoop Administration Course, master the skills your team needs to become an expert at installation and administration of large and complex Hadoop Clusters. Understand...
Master the advanced business analytics concepts to improve your organization's performance. Learn to create analytics solutions to derive insights from enterprise data using powerful f...
Classroom: 1 Days Live Online: 6 Hours
This course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP).
Classroom: 3 Days Live Online: 18 Hours
Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This fou...
Apache Spark is an open-source distributed data processing engine for large-scale data analytics. It enables fast processing of batch and real-time data using in-memory computation.
Live Online: 8 Hours Self Paced: 8 Hours
Classroom: Live Online: 8 Hours Self Paced: 8 Hours
....don’t get left behind—Enrol in the first self-directed Data Science program for leaders to advance your careers and company.
Live Online: 5 Hours Self Paced: 5 Hours
Classroom: Live Online: 5 Hours Self Paced: 5 Hours
Evaluate your level of preparedness in key aspects of mathematics and programming that are fundamental to a career in Data Science.
Data Science Research Methods: R Edition focuses on applying research and statistical techniques using R for data analysis. It covers data exploration, modeling, experimentation, and inte...
Live Online: 30 Hours Self Paced: 30 Hours
Classroom: Live Online: 30 Hours Self Paced: 30 Hours
Show what you've learned from the Professional Certificate Program in Data Science.
Introduction to Big Data covers the fundamentals of handling large, complex datasets that traditional systems cannot process efficiently. It includes concepts like data storage, processin...
Live Online: 2 Days
Classroom: Live Online: 2 Days
Data Science: Inference and Modeling focuses on statistical analysis and building predictive models from data. It covers concepts like probability, hypothesis testing, and regression to d...
Data Science: Machine Learning focuses on building models that learn from data to make predictions and decisions. It covers algorithms like regression, classification, clustering, and mod...
Data Science: Productivity Tools focuses on tools and practices that improve efficiency in data science workflows. It includes version control (Git), coding environments, documentation, a...
Data Science: Visualization focuses on creating visual representations of data to communicate insights effectively. It covers charts, graphs, and tools that help explore patterns, trends,...
Data Science: Wrangling focuses on cleaning, transforming, and preparing raw data for analysis. It involves handling missing values, reshaping data, and organizing datasets for accurate insights.
Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.
Live Online: 18 Hours Self Paced: 18 Hours
Classroom: Live Online: 18 Hours Self Paced: 18 Hours
Learn about the world of data science first-hand from real data scientists.
Learn Data Science using R from scratch. Build your career as a Data Scientist.
Apache Pig is a high-level scripting platform for processing large datasets in Hadoop using Pig Latin, a simpler alternative to MapReduce. It enables data transformation, analysis, and ET...
Live Online: 1 Days Self Paced: 10 Hours
Classroom: Live Online: 1 Days Self Paced: 10 Hours
Big Data 101 introduces the fundamentals of big data, its characteristics (Volume, Variety, Velocity), and processing frameworks like Hadoop and Spark. It covers storage, analytics, and r...
Data Distribution Service (DDS) is a real-time, publish-subscribe middleware for high-performance, scalable, and reliable data exchange in distributed systems. It is widely used in IoT, d...
Live Online: 1 Days
Classroom: Live Online: 1 Days
Databricks is a cloud-based data platform for big data processing, analytics, and machine learning. It provides a unified environment built on Apache Spark for collaborative data engineer...
Hadoop 101 introduces the fundamentals of Hadoop, including its distributed storage (HDFS) and processing framework (MapReduce). It covers the Hadoop ecosystem, setup, and real-world appl...
Gain foundational knowledge of data protection principles, privacy regulations, and best practices for managing and safeguarding personal and organizational data in the digital age.
Spark Fundamentals covers the core concepts of Apache Spark, including its in-memory computing, distributed data processing, and resilience. It introduces Spark’s architecture, RDDs, Data...
Learn how to harness the power of Microsoft R Server to analyze, visualize, and model large-scale datasets efficiently using distributed computing and advanced R analytics.
Covers enterprise integration patterns using Apache Camel. Focuses on routing, mediation, and message transformation across systems.
Teaches distributed data processing with Hadoop and structured querying using Hive. Ideal for handling large-scale data analytics and ETL workloads.
Introduces Hive as a data warehouse tool built on Hadoop. Covers SQL-based querying, schema management, and data summarization for big data analytics.
Focuses on designing and maintaining scalable data pipelines. Includes ETL processes, data warehousing, and workflow automation using modern tools.
Learn how to build real-time data streaming applications using Confluent Platform and Apache Kafka, mastering event-driven architectures for scalable data pipelines and modern analytics.
Gain foundational knowledge in data handling, analysis, and visualization to support data-driven decision-making across business functions.
Databricks SQL is a powerful analytics service built on the Databricks Lakehouse Platform that enables data analysts and engineers to run SQL queries on large-scale data efficiently. This...
Data Lake and Analytics training provides a comprehensive understanding of how organizations store, process, and analyze large volumes of structured and unstructured data using modern dat...
Databricks Machine Learning enables data scientists and engineers to build, train, and deploy machine learning models on the Databricks Lakehouse Platform. This course provides hands-on k...
Teradata is a powerful relational database management system designed for large-scale data warehousing and analytics. This course provides a comprehensive understanding of Teradata archit...
Live Online: 6 Days
Classroom: Live Online: 6 Days
A practical course that introduces the end-to-end data science methodology, guiding learners through problem definition, data collection, analysis, modeling, and deployment to deliver act...
Live Online: 4 Days
Classroom: Live Online: 4 Days
Apache Airflow is an open-source platform used to schedule, automate, and monitor workflows. It allows users to define workflows as code (DAGs) and manage complex data pipelines efficiently.
Big Data Analytics Using Spark focuses on processing and analyzing large datasets using Apache Spark. It enables fast, scalable data analysis through distributed computing and in-memory p...
Data Literacy is the ability to read, understand, analyze, and communicate data effectively. It empowers individuals to make data-driven decisions in various fields.
Data science tools are software and frameworks used for data analysis, visualization, and machine learning. They include tools like Python, R, Jupyter, TensorFlow, and Tableau to support ...
Databricks Certified Data Engineer Associate is a certification that validates skills in building and managing data pipelines using Databricks. It covers data ingestion, transformation, o...
Datadog is a cloud-based monitoring and analytics platform for applications, infrastructure, and logs. It helps teams track performance, detect issues, and ensure system reliability in real time.
End-to-End Data Engineering involves designing, building, and managing complete data pipelines from data ingestion to analysis. It covers data collection, transformation, storage, and del...
Data Science: R Basics introduces the fundamentals of programming in R for data analysis. It covers data types, functions, data manipulation, and basic visualization techniques.
Live Online: 80 Hours Self Paced: 80 Hours
Classroom: Live Online: 80 Hours Self Paced: 80 Hours
Using Python, learn statistical and probabilistic approaches to understand and gain insights from data.
Big Data Analysis with Scala and Spark focuses on processing and analyzing large datasets using Apache Spark with Scala. It covers data transformations, distributed computing, and buildin...
Live Online: 10 Hours Self Paced: 10 Hours
Classroom: Live Online: 10 Hours Self Paced: 10 Hours
In this course, you will learn how to analyze data in Python using multi-dimensional arrays in numpy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perf...
This course largely focuses upon the key components and functionalities of RevoScaleR Package.
Processing Big Data with Hadoop focuses on handling and analyzing large datasets using the Hadoop ecosystem. It covers distributed storage (HDFS), data processing with MapReduce, and scal...
Live Online: 10 Hours Self Paced: 5 Hours
Classroom: Live Online: 10 Hours Self Paced: 5 Hours
This course introduces you to R language fundamentals and covers common data structures, programming techniques, and how to manipulate data all with the help of the R programming language.
This course provides you with practical skills to build and manage data pipelines and Extract, Transform, Load (ETL) processes using shell scripts, Airflow and Kafka.
Live Online: 7 Days
Classroom: Live Online: 7 Days
Big Data Analytics involves analyzing large and complex datasets to uncover patterns, insights, and trends. It uses advanced tools and technologies like Hadoop and Spark to support data-d...
Live Online: 24 Hours Self Paced: 24 Hours
Classroom: Live Online: 24 Hours Self Paced: 24 Hours
Further develop your knowledge of big data by applying the skills you have learned to a real-world data science project.
Live Online: 60 Hours Self Paced: 60 Hours
Classroom: Live Online: 60 Hours Self Paced: 60 Hours
Learn how big data is driving organisational change and essential analytical tools and techniques, including data mining and PageRank algorithms.
Building ETL and Data Pipelines with Bash, Airflow, and Kafka focuses on designing and automating data workflows. It covers data extraction, transformation, and loading using Bash scripts...
Apache Cassandra is a highly scalable, open-source NoSQL database designed to handle massive amounts of data across many servers with no single point of failure. It is widely used for app...
Data Science Research Methods: Python Edition focuses on applying research techniques using Python for data analysis. It covers data collection, statistical methods, experimentation, and ...
Data Science with R focuses on using the R programming language for data analysis and statistical modeling. It covers data manipulation, visualization, and building predictive models for ...
Classroom: Live Online:
Get introduced to big data and data analytics lifecycle to address business challenges that leverage big data with SpringPeople EMC Data Science and Big Data Analytics training. With thi...
Data science is all about Data cleansing, preparation and analysis and Big data Analytics is used to analyze insights which can lead to better decisions and strategic business moves. T...
Live Online: 5 Days Self Paced: 8 Hours
Classroom: Live Online: 5 Days Self Paced: 8 Hours
Teaches Python fundamentals for data cleaning, visualization, and predictive analytics. Covers libraries like Pandas, NumPy, Matplotlib, and Scikit-learn.
Classroom: 1 Days Live Online: 1 Hours
Kibana Data Analysis training makes you an expert in building the applications by leveraging capabilities of Data Visualization and role of an expert in it, Accessing Kibana, Indexed cont...
Classroom: 2 Days Live Online: 12 Hours Self Paced: 6 Hours
This course is all about understanding the electronic spreadsheet program and its essential features and uses.
Master business analytics with R, the top open source programming language for data, with our Business Analytics with R Course. Gain deep understanding of topics like regression, cluster...
Advanced Excel focuses on using powerful features of Microsoft Excel for data analysis and automation. It includes functions, pivot tables, macros, dashboards, and data visualization techniques.
Master the business analytics tools and methods in Microsoft Excel to make data-driven decisions. Gain in-depth understanding of built-in formulae and add-ins to drive the success of y...
Classroom: 2 Days Live Online: 12 Hours Self Paced: 5 Hours
This course is designed for professionals who want to learn how to automate repetitive tasks to make their job easier. The course will take users through the basics of the VBA language u...
Participants of data warehousing course get to know how the data warehouse is constructed by integrating data from multiple heterogeneous sources. It supports analytical reporting, str...
Master the core concepts of SAS and gain hands-on business analytics experience. Be industry ready to create, access and manipulate datasets to perform advanced statistical techniques.
Live Online: 12 Hours Self Paced: 12 Hours
Classroom: Live Online: 12 Hours Self Paced: 12 Hours
Enhance you analytics by Predictive Analytcis with Scala. Become an Analyst with easy programming code of Scala.
Implementing Real-Time Analytics with Hadoop focuses on processing and analyzing streaming data using the Hadoop ecosystem. It covers tools like Kafka, Spark Streaming, and HDFS for build...
Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights.
Live Online: 14 Hours Self Paced: 14 Hours
Classroom: Live Online: 14 Hours Self Paced: 14 Hours
Plain & Simple Lessons on Descriptive & Inferential Statistics Theory With Excel Examples for Business & Six Sigma
Essential Math for Data Analysis using Excel covers core mathematical concepts needed for analyzing data. It includes statistics, formulas, and calculations applied using Excel for practi...
Introduction to Data Analytics for Managers focuses on helping business leaders understand and use data for decision-making. It covers key analytics concepts, interpreting reports, and ap...
Covers automated data preparation, blending, and analytics workflows using Alteryx Designer. Ideal for professionals handling complex data pipelines.
Builds on Excel fundamentals with advanced formulas, pivot tables, data validation, and dashboards. Enhances productivity in data analysis and reporting.
Covers the basics of Stratus technologies for high availability and continuous operations. Focuses on fault-tolerant infrastructure and reliability.
Introduces workflow-based data analytics using KNIME. Emphasizes automation, integration, and visualization for data-driven insights.
Focuses on evaluating project outcomes using statistical and analytical methods. Covers metrics design, performance tracking, and ROI analysis.
Explores BI solutions for enterprise data visualization and analytics. Teaches dashboard development and performance optimization techniques.
Online Quantitative Market Research focuses on collecting and analyzing numerical data to understand market trends and consumer behavior. It covers survey design, data analysis techniques...
Learn how to efficiently manage large-scale data lakes with Apache Hudi, enabling real-time data ingestion, incremental processing, and upsert capabilities for modern big data architectures.
Learn how to build, configure, and optimize powerful search and indexing solutions using Apache Solr, the open-source enterprise search platform.
Introduction to Data Warehouse Concepts covers the fundamentals of designing and managing data warehouses. It includes data modeling, ETL processes, and organizing data for reporting and ...
Introduction to Splunk covers the basics of using Splunk for searching, monitoring, and analyzing machine data. It includes log management, data visualization, and creating dashboards for...
Palantir Foundry is a powerful data integration and analytics platform that enables organizations to unify, analyze, and operationalize data at scale. This course provides hands-on experi...
Learn how to define, measure, and analyze key product metrics to drive data-informed decisions, optimize user experience, and improve business outcomes.
Python for Data Engineers focuses on using Python to build and manage data pipelines and workflows. It covers data processing, automation, working with databases, and integrating big data tools.
Learn the fundamentals of R programming and build a strong foundation for data science, including data manipulation, visualization, and basic statistical analysis.
Learn how to leverage data analytics to optimize supply chain operations, improve forecasting accuracy, and enhance decision-making across procurement, inventory, logistics, and distribution.
This course uses hands-on lab activities to guide students through a series of machine learning implementations that are common for IoT scenarios
Data Analytics Basics for Everyone introduces fundamental concepts of analyzing data for decision-making. It covers basic tools, data types, and simple techniques to understand and interp...
Classroom: 3 Days Live Online: 24 Hours Self Paced: 55 Hours
Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.
Data Warehousing and BI Analytics focuses on storing, managing, and analyzing large volumes of structured data. It involves building data warehouses and using business intelligence tools ...
This course focuses on designing efficient algorithms and analyzing their performance using Java. Learners will understand how to select appropriate algorithms and data structures to solv...
Analytics Storytelling for Impact focuses on communicating data insights effectively through compelling narratives and visuals. It helps translate complex analytics into clear, actionable...
Data Analysis with Excel Fundamentals covers the basics of analyzing data using Microsoft Excel. It includes functions, formulas, sorting, filtering, and basic visualization for insights.
Data Analysis: A Practical Introduction for Absolute Beginners introduces the basics of analyzing data from scratch. It covers fundamental concepts, simple tools, and techniques to unders...
Data Analytics for Business focuses on using data to support business decisions and strategy. It covers data analysis techniques, visualization, and interpreting insights to improve performance.
Classroom: 1 Days Live Online: 8 Hours
In this Enhanced Visual Analysis with Data Visualization course, you will learn to use Data Visualization to easily create visualizations and projects.You will use the Oracle Analytics Cl...
Data Visualization: A Practical Approach for Absolute Beginners introduces the basics of creating simple and effective data visuals. It covers charts, graphs, and techniques to present da...
Data Analysis and Visualization using Python and Streamlit covers data processing with libraries like Pandas, NumPy, and Matplotlib, alongside interactive web app development with Streaml...
Data Visualization with R focuses on creating insightful and interactive graphics using libraries like ggplot2, plotly, and Shiny. It helps transform complex data into clear, visually app...
Tableau Essentials introduces the core features of Tableau for data visualization, including connecting to data sources, creating interactive dashboards, and performing analytics. It enab...
Visualization for Data Science focuses on transforming complex data into intuitive visual representations using tools like Matplotlib, Seaborn, and D3.js. It enhances data interpretation,...
Explains how to create dynamic dashboards, reports, and visualizations using Power BI. Focuses on connecting data sources and building data-driven insights.
Provides training on WebFOCUS for enterprise reporting and BI. Focuses on creating interactive dashboards and scalable data visualizations.
Covers self-service data analytics and dashboard development with Qlik Sense. Focuses on data modeling, visualization, and associative analytics.
Introduces Jaspersoft BI suite for report design and data visualization. Teaches integration of multiple data sources into insightful visual reports.
Introduction to Data Visualization covers the basics of presenting data through charts and graphs. It helps understand how to communicate insights clearly using visual techniques.
Data Visualization and Building Dashboards with Excel and Cognos focuses on creating interactive dashboards and visual reports. It covers data visualization techniques using Excel and IBM...
Data Visualization with Python focuses on creating visual representations of data using Python libraries. It covers tools like Matplotlib, Seaborn, and Plotly to analyze trends and commun...
Analyzing and Visualizing Data with Excel focuses on using Excel to explore, analyze, and present data effectively. It includes charts, pivot tables, dashboards, and visualization techniq...
Live Online: 20 Hours Self Paced: 20 Hours
Classroom: Live Online: 20 Hours Self Paced: 20 Hours
Analysing data and Visualisation with Python is an essential skill for Data Scientists and Data Analysts. This course will take you from the basics of data analysis with Python to buildin...
Classroom: 1 Days Live Online: 4 Hours Self Paced: 1 Hours
Get familiar with the basics of statistics, Learn the basics to make it easy for you to work on technologies that use statistical techniques.
Storm is an open source distributed real-time computation system. Storm makes it easy to consistently process unrestrained streams of data, doing for real-time processing. Our Apache Sto...
Classroom: 2 Days Live Online: 12 Hours Self Paced: 3 Hours
Master your skills to solve practical statistical problems in industry. This training illustrate the capabilities of Microsoft Excel to teach applied statistics effectively. Each topic ex...
Data science, also known as data-driven science, is an interdisciplinary field about scientific processes and systems to extract knowledge or insights from data in various forms, eithe...
Master the skills you need to manage the Hadoop cluster at your organization with our Apache Ambari training. Gain an in-depth understanding of Ambari APIs to automate cluster installatio...
Master to create applications and store big data in Apache hive using Pig and Hive. Be an expert in Hadoop, YARN, HDFS, MapReduce, data ingestion, workflow definition, using Pig and Hi...
Master the skills you need to collect, monitor, analyse and visualize massive streams of machine data in our Splunk Training. Gain in-depth understanding of every aspect of Splunk adminis...
With SpringPeople ’s apache Impala training, master the skills you need to extract & deliver fast real-time business intelligence from your organization’s big data storage system. Achieve...
Covers the principles of conceptual, logical, and physical data modeling. Emphasizes normalization, schema design, and optimizing databases for analytics.
SnapLogic is an AI-powered integration platform that enables seamless data and application connectivity across cloud, on-premises, and hybrid environments. It simplifies ETL, API manageme...
Live Online: 14 Hours Self Paced: 6 Hours
Classroom: Live Online: 14 Hours Self Paced: 6 Hours
Edge Computing utilizes real-time processing and data analysis at the edge of the network nearest the device or user - to enable digital transformation and power new technologies.
Live Online: 2 Days Self Paced: 8 Hours
Classroom: Live Online: 2 Days Self Paced: 8 Hours
Using existing spreadsheet and quantitative reasoning skills, learners will make their data tell a story. This course is ideal for learners who are just starting out in their careers, jou...
Analysing data takes place in the context of industry pressures, environment considerations, data ecosystems, and what’s happening in the real world.
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