Spark Courses

The WeCloudData Hadoop course provides foundational training for professionals transitioning into data science, graduates entering the field, and big data enthusiasts. Delivered online, the course covers essential tools like Hadoop, Hive, Presto, AWS, and NoSQL, focusing on practical, real-world applications. Through hands-on projects, learners will tackle big data challenges, preparing them for roles in data science and related fields. Before You Learn / Who This Course Is For Open to career changers and recent graduates Ideal for aspiring data scientists and big data enthusiasts No prerequisites; tech-savvy approach recommended What to Expect Online, self-paced format with practical applications Hands-on projects using Hadoop, Hive, and Presto Focus on real-world big data problem-solving What You'll Achieve Mastery of essential big data tools and concepts Preparation for data science job interviews Skills applicable to modern data science roles

Code Academy Berlin's 16-week BI Analyst Bootcamp offers a comprehensive online program. Students will explore data analysis, big data cloud technologies, and tools like Tableau, Google Studio, Apache Spark, and BigQuery. Delivered through a hands-on approach, the bootcamp equips learners with essential BI skills using Python and SparkML. Before You Learn / Who This Course Is For Open to aspiring data analysts and tech professionals Ideal for those seeking comprehensive BI skills Basic data analysis knowledge recommended What to Expect 16-week online, hands-on bootcamp Learn Tableau, Google Studio, Apache Spark Hands-on projects using SparkML and Python What You'll Achieve Comprehensive BI and big data skills Proficiency with cloud technologies Prepared for data-driven career opportunities

Zindua School's part-time Data Engineering Specialisation is a 12-week online course designed for analysts and backend developers. Participants will learn to design scalable data infrastructure, architect ETL/ELT pipelines with Apache Airflow, and manage data warehouses using BigQuery and Redshift. Through hands-on labs and a capstone project, students will gain practical experience in processing real-world data and implementing DevOps-style monitoring for reliable pipelines. Before You Learn / Who This Course Is For Designed for analysts and backend developers Ideal for those pursuing data engineering roles No specific prerequisites required What to Expect Online, part-time format over 12 weeks Hands-on labs and a capstone project Focus on ETL/ELT pipelines and data warehouses What You'll Achieve Practical skills in scalable data infrastructure Experience with Apache Airflow, BigQuery, and Redshift Preparedness for data engineer roles

This comprehensive online course equips learners with the essential skills for a career in data engineering. Through self-paced modules, students will delve into data management, processing, and storage techniques. Practical projects and hands-on exercises enhance learning, ensuring mastery of industry tools and methodologies. Before You Learn / Who This Course Is For Aspiring data engineers and technical professionals Ideal for those transitioning to data-focused roles No prerequisites required What to Expect Self-paced, flexible online learning Hands-on projects with real-world data scenarios Access to industry-standard tools and resources What You'll Achieve Proficiency in data engineering principles and practices Skills applicable to data-driven career paths

AptusLearn's Post Graduate Diploma in Data Science bootcamp is a comprehensive program aimed at transforming individuals with minimal experience into job-ready data scientists. Delivered online, this course covers essential topics such as SQL, machine learning, data analytics, and big data. Participants will utilize tools like Python, R, and Tableau in a project-based format with a real-world industry internship to enhance practical skills. Before You Learn / Who This Course Is For Ideal for beginners in data science Aimed at career changers and aspiring data scientists No prior experience required What to Expect Online, self-paced learning with live support Hands-on projects using Python, R, and Tableau Industry internship to apply skills in real scenarios What You'll Achieve Post Graduate Diploma in Data Science Proficiency in SQL, machine learning, and data analytics Preparation for data scientist roles in various industries

The Online Data Engineering with Cloud Computing Certificate Course offers in-depth training for IT professionals to master data engineering competencies essential for enterprise data management. Delivered online, this self-paced course focuses on modern distributed data analytics and the AWS cloud platform. Participants will gain hands-on experience with data platforms, learning to build and manage data lakes and warehouses effectively, thus contributing significantly to data analytics projects. Before You Learn / Who This Course Is For Designed for IT professionals and aspiring data engineers Ideal for roles like Data Engineer and Cloud Infrastructure Engineer Requires basic understanding of data management concepts What to Expect Self-paced online course with flexible learning schedule Hands-on experience with AWS for data engineering tasks Focus on building data lakes and data warehouses What You'll Achieve Certificate of completion in Data Engineering with Cloud Computing Skills in data management and architecture using AWS Enhanced ability to contribute to data analytics projects

The Cognitive Class Data Science Bootcamp is an intensive, four-day online program led by IBM data scientists. This hands-on bootcamp delves into advanced data science topics, including machine learning, deep learning, and big data with Apache Spark. Participants engage in finance-related projects to apply skills using tools like Pandas, Scikit-learn, and TensorFlow, ensuring practical and applicable learning experiences. Before You Learn / Who This Course Is For Ideal for finance professionals and data enthusiasts No prerequisites required, open to all learners Suitable for those seeking advanced data skills What to Expect Four-day online, intensive bootcamp Hands-on projects with real-world finance applications Tools include Pandas, Scikit-learn, TensorFlow What You'll Achieve Comprehensive understanding of machine learning and deep learning Practical skills in Apache Spark and Big Data Applicability in finance-related data projects

GUVI's Data Engineering Bootcamp is an intensive online program focusing on essential data engineering skills. Participants learn through a structured curriculum covering Python, SQL, MongoDB, Git, AWS, data visualization, Spark, and data cleaning. Delivered through a combination of self-paced modules and hands-on projects, this course equips learners with practical experience in managing and processing data efficiently. Before You Learn / Who This Course Is For Ideal for aspiring data engineers and IT professionals No specific prerequisites required Suitable for technical and non-technical backgrounds What to Expect Self-paced modules with hands-on projects Covers Python, SQL, MongoDB, Git, and AWS Focus on data visualization and cleaning techniques What You'll Achieve Mastery of essential data engineering tools and skills Practical experience with data management and processing

The four-day Cognitive Class Data Science Bootcamp is an intensive, hands-on training designed for individuals eager to understand data science fundamentals. Taught by IBM data scientists, this online course covers Python programming, data analysis, machine learning, AI, and Apache Spark. Participants will engage in practical projects to apply their new skills effectively. Before You Learn / Who This Course Is For Suitable for aspiring data scientists and analysts No prerequisites; open to all skill levels Ideal for those interested in data science fundamentals What to Expect Intensive, hands-on training over four days Practical projects using Python and Apache Spark Live sessions with IBM data scientists What You'll Achieve Understanding of machine learning and AI techniques Skills in data cleaning, visualization, and pre-processing

The Advanced Financial Data Science and AI Bootcamp is a four-day intensive online program designed for learners to master data science techniques. Led by IBM data scientists, this hands-on course covers advanced topics such as machine learning, deep learning, big data, and Apache Spark. Participants will engage in finance-related projects, utilizing libraries like Pandas, Scikit-learn, and TensorFlow, to gain practical experience and skills. Before You Learn / Who This Course Is For Ideal for finance professionals and data enthusiasts No prerequisites required Suitable for learners seeking advanced data science knowledge What to Expect Four-day online, intensive bootcamp format Hands-on sessions with finance-related projects Focus on machine learning and big data techniques What You'll Achieve Gain proficiency in Apache Spark and deep learning Develop skills using Pandas, Scikit-learn, TensorFlow Applicable skills for financial data analysis