The 56 Best LinkedIn Learning Data Analytics Courses for 2021

Source: LinkedIn Learning

The editors at Solutions Review have compiled this record of the perfect LinkedIn Learning information analytics programs (top-rated) to think about taking.

Data analytics abilities are in excessive demand amongst organizations that want to use their collected information to generate useful enterprise perception. The pandemic and subsequent ‘new normal’ of distant work are furthering calls for for these abilities. Many are turning to on-line studying platforms to up their recreation and purchase the information analytics abilities almost definitely to assist them stand out. And whether or not you want to purchase these abilities for work or for play, this assortment of Pluralsight information analytics programs will enable you be taught the ropes so you may pilot a number of the most widely used tools very quickly!

With this in thoughts, the editors at Solutions Review have compiled this record of the perfect LinkedIn Learning information analytics programs to think about taking. The platform is ideal for these trying to take a number of programs or purchase abilities in numerous areas, or for individuals who need probably the most in-depth expertise attainable by entry to LinkedIn Learning’s complete course library or studying paths. In sum, LinkedIn Learning affords coaching in additional than 13 distinct classes with 1000’s of modules.

Note: Our editors assembled this listing by itemizing the perfect LinkedIn Learning data analytics courses in the most well-liked related protection areas together with Tableau Software, MicroStrategy, Alteryx, Microsoft Power BI, Databricks, Qlik Sense, Apache Spark, Data Literacy, Predictive Analytics, Machine Learning, Data Visualization, Data Science, Business Analytics, Business Intelligence, Excel Data Analysis, R, and Data Analysis Expressions (DAX).

Learning Data Analytics

Platform: LinkedIn Learning

Description: In this course, Robin Hunt defines what information analytics is and what information analysts do. She then reveals tips on how to determine your information set—together with the information you don’t have—and interpret and summarize information. She additionally reveals tips on how to carry out specialised duties similar to creating workflow diagrams, cleansing information, and becoming a member of information units for reporting.

Related paths/tracks: Data Analytics for Business Professionals, Data Visualization for Data Analysis and Analytics, Introduction to Business Analytics, Business Analytics Foundations: Predictive, Prescriptive, and Experimental Analytics

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Tableau Essential Training (2020.1)

Platform: LinkedIn Learning

Description: In this course, be taught what you might want to know to research and show information utilizing Tableau 2020—and make higher, extra data-driven choices to your firm. Discover tips on how to set up Tableau, connect with information sources, and kind and filter your information. Instructor Curt Frye additionally demonstrates tips on how to create and manipulate information visualizations—together with spotlight tables, charts, scatter plots, histograms, maps, and dashboards—and reveals tips on how to share your visualizations. We additionally encourage you to browse LinkedIn’s full Tableau training library, which options greater than 700 (!) outcomes primarily based in your expertise stage.

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Power BI Essential Training

Platform: LinkedIn Learning

Description: In this course, Gini von Courter helps you get began with this highly effective toolset. Gini begins by overlaying the web-based Power BI service, explaining tips on how to import information, create visualizations, and prepare these visualizations into studies. She discusses tips on how to pin visualizations to dashboards for sharing, in addition to tips on how to ask questions on your information with Power BI Q&A. She additionally gives protection of Power BI Mobile and reveals tips on how to use the information modeling capabilities in Power BI Desktop.

Related path/monitor: Advanced Microsoft Power BI

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Azure Spark Databricks Essential Training

Platform: LinkedIn Learning

Description: In this course, Lynn Langit digs into patterns, instruments, and greatest practices that may assist builders and DevOps specialists use Azure Databricks to effectively construct huge information options on Apache Spark. Lynn covers tips on how to arrange clusters and use Azure Databricks notebooks, jobs, and companies to implement huge information workloads. She additionally explores information pipelines with Azure Databricks—together with tips on how to use ML Pipelines—in addition to architectural patterns for machine studying.

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Qlik Sense Essential Training

Platform: LinkedIn Learning

Description: In this course, discover ways to analyze and show information utilizing this highly effective platform. Instructor Curt Frye reveals tips on how to set up or connect with Qlik Sense, import and summarize information, create an app from a knowledge supply, and create and handle tables. He additionally steps by tips on how to handle Qlik Sense sheets, which give a canvas you may fill with information, charts, and different visualizations. Plus, discover ways to create and manipulate quite a lot of information visualizations, from bar charts to histogram charts; create PivotTables and studies; kind and filter information; and mix your app’s sheets with objects, textual content, and pictures to create a narrative that clearly conveys your message.

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Apache Spark Essential Training

Platform: LinkedIn Learning

Description: In this course, stand up to hurry with Spark, and uncover tips on how to leverage this common processing engine to ship efficient and complete insights into your information. Instructor Ben Sullins gives an summary of the platform, going into the completely different parts that make up Apache Spark. He reveals tips on how to analyze information in Spark utilizing PySpark and Spark SQL, explores working machine studying algorithms utilizing MLib, demonstrates tips on how to create a streaming analytics utility utilizing Spark Streaming, and extra.

Related paths/tracks: Big Data Analytics with Hadoop and Apache Spark, Apache PySpark by Example

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Data Fluency: Exploring and Describing Data

Platform: LinkedIn Learning

Description: In this course, be a part of Barton Poulson as he focuses on the basics of knowledge fluency, or the power to work with information to extract insights and decide your subsequent steps. Barton reveals how exploring information with graphs and describing information with statistics may also help you attain your targets and make higher choices. Instead of specializing in specific instruments, he concentrates on common procedures that may enable you resolve particular issues. Find out tips on how to put together information, discover it visually, and use statistical strategies to explain it.

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The Essential Elements of Predictive Analytics and Data Mining

Platform: LinkedIn Learning

Description: This course gives that perspective by the lens of a veteran practitioner who has accomplished dozens of real-world initiatives. Keith McCormick is an impartial information miner and creator who focuses on predictive fashions and segmentation evaluation, together with classification timber, cluster evaluation, and affiliation guidelines.

Related paths/tracks: Predictive Analytics Essential Training for Executives, Python: Working with Predictive AnalyticsBusiness Analytics Foundations: Predictive, Prescriptive, and Experimental Analytics

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Artificial Intelligence Foundations: Machine Learning

Platform: LinkedIn Learning

Description: In this course, we evaluation the definition and forms of machine studying: supervised, unsupervised, and reinforcement. Then you may see tips on how to use common algorithms similar to determination timber, clustering, and regression evaluation to see patterns in your huge information units. Finally, you may study a number of the pitfalls when beginning out with machine studying.

Related paths/tracks: Essential Math for Machine Learning: Python Edition, Applied Machine Learning: Algorithms, Applied Machine Learning Foundations

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Data Visualization: Storytelling

Platform: LinkedIn Learning

Description: Join information visualization professional Bill Shander as he guides you thru the method of turning “facts and figures” into “story” to interact and fulfill our human expectation for data. This course is meant for anybody who works with information and has to speak it to others, whether or not a researcher, a knowledge analyst, a advisor, a marketer, or a journalist.

Related paths/tracks: Data Visualization for Data Analysts, Learning Data Visualization. Python for Data Visualization, Data Visualization for Data Analysis and Analytics

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Data Science Foundations: Fundamentals

Platform: LinkedIn Learning

Description: This course gives an accessible, non-technical overview of the sector, overlaying the vocabulary, abilities, jobs, instruments, and strategies of knowledge science. Instructor Barton Poulson defines the relationships to different data-saturated fields similar to machine studying and synthetic intelligence. He evaluations the first practices: gathering and analyzing information, formulating guidelines for classification and decision-making, and drawing actionable insights. He additionally discusses ethics and accountability and gives route to be taught extra.

Related paths/tracks: Introduction to Data Science, Learning Data Science: Understanding the Basics, Python for Data Science Essential Training Part 1, Data Science Foundations: Data Mining, Learning Data Science: Tell Stories With Data, Data Science Foundations: Data Engineering

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Data Analytics for Business Professionals

Platform: LinkedIn Learning

Description: In this introductory overview, economist and creator John Johnson reveals leaders and executives tips on how to use analytics to make data-driven choices and acquire a aggressive benefit. First, see examples of real-life analytics in motion. Then discover the variations between predictive and prescriptive analytics, and learn how to formulate questions—a course of that may be nearly as revealing as discovering the solutions. John then reveals tips on how to acquire, clear, and combination information from completely different sources throughout your group, and determine when information is flawed.

Related path/monitor: Learning Digital Business Analysis

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Business Intelligence for Consultants

Platform: LinkedIn Learning

Description: This course explains what enterprise intelligence is, why it’s essential, and the way consultants can faucet into enterprise intelligence when delivering outcomes for shoppers. Instructor Joshua Rischin has been a advisor to over 40 organizations. Here he shares strategies and examples from his profession with you. Learn tips on how to profile the consumer’s enterprise, collect high-quality and related information, and current your insights and suggestions to shoppers with detailed visualizations and studies.

Related path/monitor: Excel Business Intelligence

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Learning Excel: Data Analysis

Platform: LinkedIn Learning

Description: This course helps you unlock the facility of your group’s information utilizing the information evaluation and visualization instruments constructed into Excel. Author Curt Frye begins with the foundational ideas, together with primary calculations similar to imply, median, and customary deviation, and gives an introduction to the central restrict theorem. He then reveals tips on how to visualize information, relationships, and future outcomes with Excel’s histograms, graphs, and charts. He additionally covers testing hypotheses, modeling completely different information distributions, and calculating the covariance and correlation between information units.

Related paths/tracks: Excel 2016: Managing and Analyzing Data, Managing and Analyzing Data in Excel, Data Visualization for Data Analysis and Analytics, Excel: Power Pivot for Beginners, Excel: PivotTables in Depth, Excel: Tracking Data Easily and Efficiently, Excel Statistics Essential Training: 1, Excel: Advanced Formulas and Functions, SQL: Data Reporting and Analysis, Excel: Economic Analysis and Data Analytics

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Learning R

Platform: LinkedIn Learning

Description: Learn the fundamentals of R and get began discovering insights from your individual information, on this course with professor and information scientist Barton Poulson. The classes clarify tips on how to get began with R, together with putting in R, RStudio, and code packages that stretch R’s energy. You additionally see first-hand tips on how to use R and RStudio for beginner-level information modeling, visualization, and statistical evaluation. By the top of the course, you’ll have an intensive introduction to the facility and suppleness of R, and perceive tips on how to leverage this instrument to discover and analyze all kinds of knowledge.

Related paths/tracks: R for Data Science: Lunchbreak Lessons, R Programming in Data Science: Setup and Start, R for Excel Users, Data Wrangling in R

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Power BI Modeling with DAX

Platform: LinkedIn Learning

Description: In this course, Gini von Courter covers the necessities of working with DAX, sharing greatest practices for information mannequin design and optimization alongside the best way. Learn tips on how to work with DAX combination capabilities, add calculated columns, create measures, and work with DAX logical and filter capabilities.

Related path/monitor: Excel Business Intelligence: Power Pivot and DAX

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Timothy King

Tim is Solutions Review’s Editorial Director and leads protection on huge information, enterprise intelligence, and information analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 “Who’s Who” in information administration and information integration, Tim is a acknowledged influencer and thought chief in enterprise enterprise software program. Reach him by way of tking at solutionsreview dot com.

Timothy King

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