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This Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. Those who are new to SQL and you want to learn the basicsĬourse duration: 4 months | Provider: ClouderaĮnroll for this Course: Visit this Website, you can get financial aid and also a Discount Data Warehousing for Business Intelligence Specialization Managing Big Data in Clusters and Cloud Storage.Foundations for Big Data Analysis with SQL.You can earn the CCA Data Analyst credential by passing a 120-minute performance-based exam.Ĭourses you will learn in this special ization: This is different from the Cloudera Certified Associate (CCA) Data Analyst credential. Uccessfully completing this Specialization confers a Coursera Specialization Certificate. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines. These are open source SQL engines capable of querying enormous datasets. To query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Maybe you are new to SQL and you want to learn the basics. This Specialization is intended for anyone with an interest in data analysis and its applications in business decision-making.Ĭourse duration: 5 – 7 months | Provider: Duke UniversityĮnroll for this Course: Visit this Website, you can get financial aid and also a Discount Modern Big Data Analysis with SQL Specialization No prior experience with analytics or programming is required. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In this Specialization, you’ll learn to frame business challenges as data questions. This Specialization is intended for the learner with no prior knowledge and who is willing to learn SQL.Ĭourse duration: 4 – 6 months | Provider: University of CaliforniaĮnrol for this Course: Visit this Website, you can get financial aid and also a Discount Excel to MySQL: Analytic Techniques for Business Specialization Shareable Specialization and Course Certificates.These topics will prepare you to apply SQL creatively to analyze and explore data demonstrate efficiency in writing queries create data analysis datasets conduct feature engineering, use SQL with other data analysis and machine learning toolsets and use SQL with unstructured data sets. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, Delta Lake and more. This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Introduction to Structured Query Language (SQL) Course:īest SQL Courses on Coursera to know in 2022 Learn SQL Basics For Data Science Specialization:.DataBases and SQL for Data Science with Python.Data Warehousing for Business Intelligence Specialization.Modern Big Data Analysis with SQL Specialization.Excel to MySQL: Analytic Techniques for Business Specialization.Learn SQL Basics For Data Science Specialization:.Best SQL Courses on Coursera to know in 2022.
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