Search result for Exploratory data analysis data science Online Courses & Certifications
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Statistics for Genomic Data Science
by Jeff Leek, PhD- 4.2
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Approx. 9 hours to complete
An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University. Welcome to Statistics for Genomic Data Science Exploratory Analysis (9:21) Exploratory Analysis in R Part I (7:22) Statistics for Genomic Data Science Wrap-Up (1:53)...
Agile Analytics
by Alex Cowan- 4.8
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Approx. 15 hours to complete
Analytics and Data Science Facilitating Collaboration with Your Data Science Team Interview: Drew Conway on Data Science Interview: Drew Conway’s Data Science Journey Interview: Casey Lichtendahl: Data Science and You Interview: Casey Lichtendahl: Closer Look at the Work of Data Science Data Science IRL: Intro to the Casino Jack Case Data Science IRL: Data Wrangling and Exploratory Analysis...
Distributed Machine Learning with Apache Spark
by Ameet Talwalkar , Jon Bates- 0.0
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4 Weeks
This statistics and data analysis course introduces the underlying statistical and algorithmic principles required to develop scalable real-world machine learning pipelines. We present an integrated view of data processing by highlighting the various components of these pipelines, including exploratory data analysis, feature extraction, supervised learning, and model evaluation. Exploratory data analysis, feature extraction, supervised learning, and model evaluation...
$99
Data Visualization with Tableau Project
by Suk S. Brar, M.B.A. , Hunter Whitney- 4.6
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Approx. 12 hours to complete
In this project-based course, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared on Tableau Public. Examples of Multi-Frame Data Stories Milestone 2: Importing and Prepping the Data Preparing Your Data for Import Assess the quality of the data and perform exploratory analysis...
Data Science for Business Innovation
by Marco Brambilla , Emanuele Della Valle- 4.2
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Approx. 7 hours to complete
The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. Big Data and Data Science Success Story: Data Science at Netflix Success Story: Data Science at Netflix Success Story: Data Science at Netflix Data Science Methods for Business Data Science Challenges...
Data Science: Sparklyr Basics for Beginners
by Artech Learning, LLC.- 3.7
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1.5 hours on-demand video
Learn to interact with data in Apache Spark through sparklyr and simplify machine learning model implementations. Welcome to this course: Data Science - Sparklyr Basics for Beginners. In order to operate at this level you need to build data science solutions of substance –solutions that solve real problems....
$12.99
Data Science with Python 3.x
by Packt Publishing- 3.9
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13.5 hours on-demand video
You will then work on large datasets and perform exploratory data analysis to investigate the dataset and to come up with the findings from it. You will also learn to scale your data analysis and execute distributed data science projects right from data ingestion to data manipulation and visualization using Dask....
$9.99
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Analyze Datasets and Train ML Models using AutoML
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.6
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Approx. 14 hours to complete
In the first course of the Practical Data Science Specialization, you will learn foundational concepts for exploratory data analysis (EDA), automated machine learning (AutoML), and text classification algorithms. Practical data science is geared towards handling massive datasets that do not fit in your local hardware and could originate from multiple sources. Practical Data Science...
Data Visualization in Tableau
by Mat Leonard- 0.0
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Approx. 3 weeks
Data visualization skills are tremendously important in today’s data driven economy. Collecting and analysing data is just one step; to communicate your results to clients or your managers, you need to present the data in a coherent and intuitive way. Learn to use data with integrity. Learn to use calculations to create new data columns....
Free
Analyzing Data with R
by Gabriela de Queiroz , Tiffany Zhu , Yiwen Li- 0.0
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6 Weeks
For example, ensure that you have completed a course like Introduction to R Programming for Data Science from IBM. Prepare data for analysis by handling missing values, formatting and normalizing data, binning, and turning categorical values into numeric values. Conduct exploratory data analysis using descriptive statistics, data grouping, analysis of variance (ANOVA), and correlation statistics....
$99
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