Search result for Exploratory data analysis data science Online Courses & Certifications
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Market Segmentation Analysis
by Sara Dolnicar , Bettina Grün , Friedrich Leisch- 0.0
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5 Weeks
In this course, we will explore how to leverage statistical concepts into the organisation's segmentation strategy, such as the hierarchical clustering and partitioning methods, exploratory data analysis, biclustering, mixture models, and regression models. You can replicate the calculations and visualisations demonstrated in the customer segmentation modelsby downloading the data and the R code....
$99
Statistical Inference and Modeling for High-throughput Experiments
by Rafael Irizarry , Michael Love- 0.0
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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
Supervised Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.8
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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....
Supervised Machine Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.7
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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....
Data Wrangling, Analysis and AB Testing with SQL
by Katrina Glaeser- 3.4
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Approx. 16 hours to complete
This course allows you to apply the SQL skills taught in “SQL for Data Science” to four increasingly complex and authentic data science inquiry case studies. We'll select and perform the optimal JOIN for a data science inquiry and clean data within an analysis dataset by deduping, running quality checks, backfilling, and handling nulls....
Complete Outlier Detection Algorithms A-Z: In Data Science
by Saurav Singla- 4.8
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1.5 hours on-demand video
Outlier Detection Algorithms in Data Science, Machine Learning, Deep Learning, Data Analysis, Statistics with Python Welcome to the course "Complete Outlier Detection Algorithms A-Z: In Data Science". The process of identifying outliers has many names in Data Science and Machine learning such as outlier modeling, novelty detection, or anomaly detection....
$12.99
Statistics for Data Science with Python
by Murtaza Haider , Aije Egwaikhide- 4.6
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Approx. 12 hours to complete
This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis. You will take a hands-on approach to statistical analysis using Python and Jupyter Notebooks – the tools of choice for Data Scientists and Data Analysts. Python Packages for Data Science...
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Fundamentals of Data Science with Python
by Packt Publishing- 3.8
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2.5 hours on-demand video
Implement powerful data science techniques with Python using NumPy, SciPy, Matplotlib, and scikit-learn Python has grown into a key language that can be used to develop solutions for a variety of data science challenges. This course will teach you the fundamentals of data science using Python and its growing collection of libraries that focus on particular elements of data science....
$12.99
Machine Learning with Python, scikit-learn and TensorFlow
by Packt Publishing- 3.2
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9.5 hours on-demand video
In this course, you’ll learn all the important concepts such as exploratory data analysis, data preprocessing, feature extraction, data visualization and clustering, classification, regression, and model performance evaluation. You’ll cover the unique features of the library such as data flow Graphs, training, and visualization of performance with TensorBoard—all within an example-rich context using problems from multiple sources....
$12.99
Maps and the Geospatial Revolution
by Dr. Anthony C. Robinson- 4.7
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Approx. 20 hours to complete
We will explore what makes spatial information special, how spatial data is created, how spatial analysis is conducted, and how to design maps so that they’re effective at telling the stories we wish to share. Understanding Spatial Data Spatial Data Describing Spatial Data Doing Spatial Analysis Analysis Pitfalls Spatial Analysis Data Classification...
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