Search result for Exploratory data analysis methods Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 599 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Data Analysis: Statistical Modeling and Computation in Applications
by Stefanie Jegelka , Caroline Uhler , Karene Chu- 0.0
-
![]()
![]()
![]()
![]()
![]()
15 Weeks
-- Part of the MITx MicroMasters program in Statistics and Data Science. Then, learners will study common models and methods to analyze specific types of data in four different domain areas: Model, form hypotheses, perform statistical analysis on real data Use dimension reduction techniques such as principal component analysis to visualize high-dimensional data and apply this to genomics data...
$300
Complete Introduction to Excel Pivot Tables and Pivot Charts
by Ian Littlejohn- 4.6
-
![]()
![]()
![]()
![]()
![]()
4 hours on-demand video
Learn to analyze & summarize data in seconds using Excel's most powerful data feature - Pivot Tables & Pivot Charts! Ian provides world leading courses on Excel, Power Pivot, Power BI and Google Data Studio. Excel is now recognized as the most commonly used data analysis tool in the world for the development of reports, data analysis and dashboards....
$14.99
Sampling People, Networks and Records
by James M Lepkowski- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 20 hours to complete
Good data collection is built on good samples. Samples can be haphazard or convenient selections of persons, or records, or networks, or other units, but one questions the quality of such samples, especially what these selection methods mean for drawing good conclusions about a population after data collection and analysis is done....
Fundamentals of Data Science with Python
by Packt Publishing- 3.8
-
![]()
![]()
![]()
![]()
![]()
2.5 hours on-demand video
Implement powerful data science techniques with Python using NumPy, SciPy, Matplotlib, and scikit-learn Then, you will use Python to mine data from its source and analyze available data via statistical and probability analysis techniques by using NumPy and pandas. The course also covers visualization methods using the Matplotlib library to display this analysis and visually demonstrate patterns in the data....
$12.99
Foundation of Statistics with Minitab
by László Csanaki- 4.3
-
![]()
![]()
![]()
![]()
![]()
5 hours on-demand video
Data analysis sessions are used to initiate you not only into solving problems with a software but also making the concepts of Statistics clear with using the capabilities of a high performance statistical software package in visualizing the hidden structures and tendencies in your datasets. Learn how to generate random data to simulate repeated sampling to study different sample statistics....
$11.99
Penetration Testing, Incident Response and Forensics
by IBM Security Learning Services- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 17 hours to complete
You will learn about the different phases of penetration testing, how to gather data for your penetration test and popular penetration testing tools. Finally, you will learn key steps in the forensic process and important data to collect. Incident Response Detection & Analysis Data Collection & Examination Analysis & Reporting Data Files...
Unsupervised Learning with Python: Step-by-Step Tutorial!
by Packt Publishing- 2.8
-
![]()
![]()
![]()
![]()
![]()
7.5 hours on-demand video
Unlike supervised machine learning, unsupervised machine learning methods cannot be applied to a regression or a classification problem as you have no idea what the values for the output data might be, making it impossible for you to train the algorithm the way you normally would. How Market Basket Analysis Works...
$12.99
Related searches
Applied Statistics with Python
by Ben Tasker , David Sze- 0.0
-
![]()
![]()
![]()
![]()
![]()
16 Weeks
Analyze data using statistical methods and technology. This course helps prepare you for positions that require the analysis of large data sets, providing the statistics foundation you’ll need for data analysis. This course specifically explores inferential statistics - the science of applying statistical techniques to quantify and answer real-world data analysis questions....
$498
CERTaIN: Pragmatic Clinical Trials and Healthcare Delivery Evaluations
by Maria E. Suarez-Almazor, MD, PhD , Barry R. Davis, MD, PhD- 0.0
-
![]()
![]()
![]()
![]()
![]()
3 Weeks
How will I analyze the data I collect? We will discuss the key decisions a researcher needs to make when preparing for and conducting research, as well as tools for data analysis. Basic Analytic Methods Introduction to Bayesian Methods Describe the statistical methods used to analyze pragmatic clinical trial data...
$249
Plant Bioinformatics Capstone
by Nicholas James Provart- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 9 hours to complete
Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of "-seq"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply and in a high-throughput manner. Gene expression analysis Coexpression analysis Promoter analysis Analysis of the function of your gene of interest and its network of genes...
Previous
