Search result for Exploratory data analysis steps Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 387 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Supervised Machine Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting. 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, Calculus, Linear Algebra, Probability, and Statistics....
SQL for Data Science Capstone Project
by Don Noxon- 3.9
-
![]()
![]()
![]()
![]()
![]()
Approx. 35 hours to complete
Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This community of fellow learners will provide additional input to help you refine your approach to data analysis with SQL and present your findings to clients and management. Perform descriptive statistics as part of your exploratory analysis...
Statistical Inference and Modeling for High-throughput Experiments
by Rafael Irizarry , Michael Love- 0.0
-
![]()
![]()
![]()
![]()
![]()
4 Weeks
In this course you’ll learn various statistics topics including multiple testing problem, error rates, error rate controlling procedures, false discovery rates, q-values and exploratory data analysis. Data Analysis for Life Sciences: 4x: High-Dimensional Data Analysis Genomics Data Analysis: Organizing high throughput data Exploratory Data Analysis for High throughput data...
$149
Visualizing Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 17 hours to complete
Data visualization is a critical part of any data science project. Similarly, once you’ve completed your analysis and are ready to present your findings, data visualizations are a highly effective way to communicate your results to others. Getting the Data in Order An Exploratory Table Exploratory Data Analysis (EDA) Exploratory Data Analysis (EDA)...
Supervised Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Classification techniques in a business setting. 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, Calculus, Linear Algebra, Probability, and Statistics....
Supervised Machine Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Classification techniques in a business setting. 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, Calculus, Linear Algebra, Probability, and Statistics....
Quantitative Research
by Susan Berman , Olivier Rubel, PhD- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 17 hours to complete
Steps to Design and Implement a Survey - Part 1 Steps to Design and Implement a Survey - Part 2 Reviewing Your Data and Looking for Errors Descriptive Analysis: Nominal Data Descriptive Analysis: Ordinal and Interval Data Association Analysis: Correlation Analysis Causal Analysis Making Sense of Survey Data Quantitative Data Analysis Techniques for Data-Driven Marketing...
Related searches
Six Sigma Advanced Define and Measure Phases
by Christina Scherrer, PhD , Gregory Wiles, PhD , Bill Bailey, PhD- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 15 hours to complete
This course will provide you with the advanced knowledge of team dynamics and performance, process analysis, probability, statistics, statistical distributions, collecting and summarizing data, measurement systems analysis, process and performance capability, and exploratory data analysis associated with Six Sigma and Lean. Exploratory Data Analysis - Recommended Reading Exploratory Data Analysis Practice Quiz Exploratory Data Analysis Graded Quiz...
Data Analytics Real-World Projects using python
by Shan Singh- 4.1
-
![]()
![]()
![]()
![]()
![]()
6.5 hours on-demand video
Build a Portfolio of 5 Data Analysis Projects with Plotly,Folium,TextBlob,Geopy & Many more & get a job of Data Analyst Starting with importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning and Data Presentation....
$12.99
Analyze Datasets and Train ML Models using AutoML
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.6
-
![]()
![]()
![]()
![]()
![]()
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 Use case and data set Data ingestion and exploration Data visualization Week 2: Data Bias and Feature Importance Text analysis...
Previous
