Search result for Exploratory data analysis example Online Courses & Certifications
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Data Analytics and Visualization Capstone Project
by Rav Ahuja , Ramesh Sannareddy- 0.0
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6 Weeks
Accelerate the knowledge you gain from previous courses in the IBM Data Analyst Professional Certificate program. The course ends with a presentation of your data analysis report that tests your ability to create a compelling story for the various stakeholders in the organization. Exploratory Analysis finding the distribution of data, the presence of outliers and the correlation between different columns...
$149
Spatial Analysis and Satellite Imagery in a GIS
by Don BoyesTop Instructor- 4.9
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Approx. 14 hours to complete
In this course, you will learn how to analyze map data using different data types and methods to answer geographic questions. Then, we will discuss simple yet powerful analysis methods that use vector data to find spatial relationships within and between data sets. Vector analysis Constraint analysis ModelBuilder example Getting started with spatial analysis...
How to analyze a microbiome
by Karoline Faust , Lisa Röttjers- 0.0
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7 Weeks
Learn common analysis techniques to make sense of microbial sequencing data. Microbiome data analysis elucidates the composition of microbial communities and how it changes in response to the environment. This course will illustrate with the help of real-world example data how to carry out typical analysis tasks, such as comparing microbial composition and diversity, clustering samples and computing associations....
$49
Fundamentals of Scalable Data Science
by Romeo Kienzler- 4.3
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Approx. 20 hours to complete
Apache Spark is the de-facto standard for large scale data processing. This is the first course of a series of courses towards the IBM Advanced Data Science Specialization. We'll introduce Apache Spark in the first two weeks and learn how to apply it to compute basic exploratory and data pre-processing tasks in the last two weeks....
Statistical Thinking for Industrial Problem Solving, presented by JMP
by Mia Stephens , Ledi Trutna- 4.8
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Approx. 44 hours to complete
• Describe the importance of data, and the steps needed to compile and prepare data for analysis Introduction to Exploratory Data Analysis Summary of Exploratory Data Analysis Tools Module 2B: Exploratory Data Analysis, Part 2 Restructuring Data for Analysis Summary - Exploratory Data Analysis Practice: Conducting a Capability Analysis with Nonnormal Data...
Complete Data Science Training with Python for Data Analysis
by Minerva Singh- 4.2
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13 hours on-demand video
Beginners python data analytics : Data science introduction : Learn data science : Python data analysis methods tutorial You will go all the way from carrying out simple visualizations and data explorations to statistical analysis to machine learning to finally implementing simple deep learning-based models using Python Understand The Difference Between Machine Learning & Statistical Data Analysis...
$9.99
Data Management and Visualization
by Lisa Dierker- 4.4
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Approx. 12 hours to complete
By the end of the course, you will be able to use powerful data analysis tools – either SAS or Python – to manage and visualize your data, including how to deal with missing data, variable groups, and graphs. SAS Lesson 1 - Defining exploratory data analysis Python Lesson 1 - Defining Exploratory Data Analysis...
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Python and Machine-Learning for Asset Management with Alternative Data Sets
by Gideon OZIK , Sean McOwen- 4.4
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Approx. 19 hours to complete
Over-utilization of market and accounting data over the last few decades has led to portfolio crowding, mediocre performance and systemic risks, incentivizing financial institutions which are looking for an edge to quickly adopt alternative data as a substitute to traditional data. Lab session: Mapping Data with Folium Perform data analysis of real-world alternative datasets using Python....
Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 14 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Deep Learning and Reinforcement Learning. To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Calculus, Linear Algebra, Probability, and Statistics....
Complete Data Analysis with Pandas : Hands-on Pandas Python
by Ankit Mistry- 4.3
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17 hours on-demand video
If you want to master most in-demand data analysis library pandas, carry on reading. Analysis techniques like exploratory data analysis, data transformation, data wrangling, time series data analysis, analysis through visualization and many more. Then this course is for you, welcome to the course on data analysis with python's most powerful data processing library Pandas....
$15.99
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