Source: Edureka
Take advantage of these Edureka data analytics courses with the online learning platform’s 20 percent off for the month of March.
Data analytics skills are in high demand among organizations that are looking to use their collected data to generate valuable business insight. The pandemic and subsequent “new normal” of remote work are furthering demands for these skills. Many are turning to online learning platforms to up their game and acquire the data analytics skills most likely to help them stand out. And whether you are looking to acquire those skills for work or for play, this collection of Edureka data analytics courses will help you learn the ropes so you can pilot some of the most widely used tools in no time!
With this in mind, the editors at Solutions Review have compiled this list of top-rated Edureka data analytics courses to consider taking during the platform’s March 20 percent off deal. Edureka is perfect for those looking to take multiple courses or acquire skills in multiple different areas, or for those who want the most in-depth experience possible through access to entire course libraries or learning paths. In sum, Edureka offers courses and training in 20 coverage categories.
Note: Our editors assembled this directory by listing top-rated Edureka data analytics courses in the most popular associated coverage areas including 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).
Description: A self-paced course that helps you to understand the various statistical techniques from the very basics and how each technique is employed on a real-world data set to analyze and conclude insights. Statistics and its methods are the backend of data science to “understand, analyze and predict actual phenomena”. Machine learning employs different techniques and theories drawn from statistical and probabilistic fields.
Related paths/tracks: Data Analytics with R Certification, Analytics for Retail Banks
Description: Edureka’s Tableau Training and Certification course is curated by business intelligence industry experts, and it covers in-depth knowledge on Tableau Prep Builder, Tableau Desktop, and Tableau Online. Throughout this online instructor-led Tableau training, you will be working on real-life industry use cases in retail, entertainment, transportation and life sciences domains. Be sure to also browse Edureka’s entire library of Tableau courses.
Description: After completing the training, you will be able to create the solution for data visualization issues of any size on any platform and create, execute, monitor and schedule BI reports and dashboard processes. The course also lets you analyze MicroStrategy data flow architecture, the various types of setup like on-prem, cloud and mobile, and understanding the need for data containers and customization using SDK.
Description: Microsoft Power BI Training at Edureka will help you achieve expertise in business analytics. At the end of this course, you will master the concepts like Power BI Desktop, Power BI DAX, Power BI Q&A, Power BI Content packs, Power BI Custom Visuals, Power BI Integrations with Azure Machine Learning and SQL Services. This module will introduce you to Power BI, its building blocks and the various fundamental concepts of Power BI.
Description: Apache Spark and Scala Certification Training is designed to prepare you for the Cloudera Hadoop and Spark Developer Certification Exam (CCA175). You will gain in-depth knowledge on Apache Spark and the Spark Ecosystem, which includes Spark RDD, Spark SQL, Spark MLlib and Spark Streaming. You will get comprehensive knowledge on Scala Programming language, HDFS, Sqoop, Flume, Spark GraphX and messaging systems like Kafka.
Related path/track: Python Spark Certification Training using PySpark
Description: Edureka’s Machine Learning Certification Training using Python helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes and Q-Learning. This training exposes you to concepts of statistics, time series and different classes of machine learning algorithms like supervised, unsupervised, and reinforcement algorithms. Throughout the course, you’ll be solving real-life case studies on media, healthcare, social media, aviation, and HR.
Related paths/tracks: Graphical Models Certification Training, Reinforcement Learning, Natural Language Processing with Python
Description: Become an expert in data warehousing and business intelligence techniques covering concepts like DW architecture, data modeling, ERwin, ETL fundamentals, business reporting, and data visualisation. Key topics include top-down vs. bottom-up data warehouse design and classification of different BI tools and various ways to use them.
Description: Excel has become one of the prerequisites for almost all jobs in the analytics and consulting sector. Through this course, you’ll learn the advanced functions that are used by analysts on a day-to-day basis. You’ll also get accustomed to even more advanced stages of excel use like Macros which further come in handy. Throughout the course, you’ll be given hands-on assignments and case studies to put the theoretical knowledge to practice.
Description: Edureka’s Data Science Training lets you gain expertise in machine learning algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes using R. Data science training encompasses a conceptual understanding of Statistics, Time Series, Text Mining, and an introduction to Deep Learning. Throughout this Data Science Course, you will implement real-life use-cases on Media, Healthcare, Social Media, Aviation, and HR.
Related paths/tracks: Data Analytics with R Certification Training, Advanced Predictive Modelling in R Certification Training, Python Certification Training for Data Science
This article was written by Tim King on March 2, 2021
Tim is Solutions Review’s Executive Editor and leads coverage on data management and analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 “Who’s Who” in Data Management, Tim is a recognized industry thought leader and changemaker. Story? Reach him via email at tking@solutionsreview dot com.
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