5 Courses and Certifications

Coursera Apache Spark Courses & Certifications

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Introduction to Big Data with Spark and Hadoop

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Certificate

Introduction to Big Data with Spark and Hadoop

Introduction to Big Data with Spark and Hadoop is a beginner-level online course offered by Coursera in collaboration with IBM. The course, which can be covered in about 13 hours, will guide and introduce the learners to Big data with Spark and Hadoop.   Introduction to Big Data with Spark and Hadoop Certification Course is part of two different programmes or specializations offered by IBM, namely, IBM Data Engineering Professional Certificate and NoSQL, Big Data, and Spark Foundations Specialization. 

Introduction to Big Data with Spark and Hadoop Training, provided by Coursera, will help the learners to learn Big Data with Hadoop, the implication of Big Data in Big Data Analytics, Resilient Distributed Datasets (RDDs), and many more. Introduction to Big Data with Spark and Hadoop Certification by Coursera demands from the learners 7 weeks of study which means the learners will have to dedicate 1-2 hours per week. The course will provide the candidates with an insight into the  Big Data processing tools and their features, limitations, benefits, and applications. 

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6 Weeks
Intermediate
4,093
Skills Covered:
Knowledge of Big Data Knowledge of Apache Spark
Certificate

Perform data science with Azure Databricks

Performing data science with Azure Databricks requires about 26 hours to complete. Microsoft is the associate of Coursera in designing and delivering the online programme. This certification is a sub-programme in the five-course umbrella programme of the Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate. As experienced and expert professionals prepare the programme at Microsoft, the learners can have intensive training on data science processes with Azure Databricks, Databricks Azure, Azure Spark and Apache Spark

Perform data science with Azure Databricks Certification Course, offered by Coursera, an intermediate-level programme. The learners of this programme should have experience with using  Python for data exploration and machine learning models with open-source frameworks, such as TensorFlow, Scikit-Learn and  PyTorch. Perform data science with Azure Databricks Certification by Coursera can be taken and covered at the learners’ pace. 

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6 Weeks
Intermediate
4,093
Skills Covered:
Data science knowledge Knowledge of Apache Spark

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Swiss Federal Institute of Technology Lausanne via Coursera
Certificate

Big Data Analysis with Scala and Spark

Big Data Analysis with Scala and Spark is an online course offered by Coursera that has been taken by 93,905 learners so far. The certificate programme is part of the 5-course Functional Programming in Scala Specialization which is administered by cole Polytechnique Fédérale de Lausanne (EPFL). Big Data Analysis with Scala and Spark Certification Course is prepared and delivered by Prof. Heather Miller who is an assistant professor at Carnegie Mellon University. 

Offered by Coursera, Big Data Analysis with Scala and Spark Training will provide a thorough understanding of big data analysis with the help of Spark and Scala, Scala Programming, SQLBig DataApache Spark, the programming model of Spark, and many more.  Big Data Analysis with Scala and Spark Certification by Coursera will also provide a practical understanding of Spark and Scala with hands-on examples. 

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4 Weeks
Intermediate
4,091
Skills Covered:
Programming skills Knowledge of Apache Spark Knowledge of Big Data SQL knowledge
Apache Spark TM SQL for Data Analysts

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Certificate

Apache Spark (TM) SQL for Data Analysts

Apache Spark (TM) SQL for Data Analysts is a 13 hours completion time online programme. The courses are developed for intermediate-level candidates who have familiarity with SQL.  Apache Spark (TM) SQL for Data Analysts Certification Course is curated by Kate Sullivan, the technical curriculum developer. The online programme is one of the courses of the Data Science with Databricks for Data Analysts Specialization that is offered by Databricks, the data and AI firm.

Apache Spark (TM) SQL for Data Analysts Training, administered by Coursera, will walk you through the data analysis, SQL and Apache Spark which is one of the most sought-after tools in big data analytics.  Apache Spark (TM) SQL for Data Analysts Certification by Coursera will also provide the learners with practical exposure to Apache Spark through various practical exercises. 

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13 Hours
Intermediate
Skills Covered:
Knowledge of Apache Spark
Scalable Machine Learning on Big Data using Apache Spark

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Certificate

Scalable Machine Learning on Big Data using Apache Spark

The IBM advanced data science qualification curriculum includes the Scalable Machine Learning on Big Data using Apache Spark online course which provides students with much-needed insights to scale up the machine learning and data science methods in Apache Spark on big data sets. 

The Scalable Machine Learning on Big Data using Apache Spark syllabus will teach about datasets that need capabilities beyond a single computer and Apache Spark provides the open source-based framework and comes as a part of the IBM Artificial Intelligence Engineering. 

It is an intermediate difficulty level coursework that is fully online and provides a verified certificate. The Scalable Machine Learning on Big Data using Apache Spark by Coursera takes a total duration of 6 hours to complete and is taught in the English language along with subtitles provided for student comfort. The course will help candidates with prerequisite knowledge on programming, SQL and machine learning with a flexible deadline and serve as a great asset for anybody aspiring to be a Machine Learning Engineer. 

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Intermediate
Free
Skills Covered:
Machine learning Knowledge of Apache Spark

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