Exploratory Data Analysis

Sort options

R Data Science Capstone Project (edX)

Self Paced
R Data Science Capstone Project (edX)
Course Auditing
Categories
Effort
Languages
Apply various data analysis and visualization skills and techniques you have learned by taking on the role of a data scientist working with real-world data sets. In this capstone course, you will apply various data science skills and techniques that you have learned as part of the previous courses [...]
0
No votes yet

Capstone Project: Predicting Safety Stock (Coursera)

Aug 2nd 2021
Capstone Project: Predicting Safety Stock (Coursera)
Course Auditing
Categories
Effort
Languages
In this course, we'll make predictions on product usage and calculate optimal safety stock storage. We'll start with a time series of shoe sales across multiple stores on three different continents. To begin, we'll look for unique insights and other interesting things we can find in the data by [...]
0
No votes yet
Aug 2nd 2021
Course Auditing
32.00 EUR/month

Analyze Datasets and Train ML Models using AutoML (Coursera)

Aug 2nd 2021
Analyze Datasets and Train ML Models using AutoML (Coursera)
Course Auditing
Categories
Effort
Languages
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. With Amazon SageMaker Clarify and Amazon SageMaker Data Wrangler, you will analyze a dataset for statistical bias, transform the dataset into [...]
0
No votes yet
Aug 2nd 2021
Course Auditing
40.00 EUR/month

SQL for Data Science Capstone Project (Coursera)

Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems. Whether you have successfully completed the other [...]
0
No votes yet

Exploratory Data Analysis for Machine Learning (Coursera)

This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data. You will learn common techniques to retrieve your data, clean it, apply feature engineering, and [...]
0
No votes yet

Probability Theory, Statistics and Exploratory Data Analysis (Coursera)

Exploration of Data Science requires certain background in probability and statistics. This course introduces you to the necessary sections of probability theory and statistics, guiding you from the very basics all way up to the level required for jump starting your ascent in Data Science.
0
No votes yet

Statistical Thinking for Industrial Problem Solving, presented by JMP (Coursera)

Statistical Thinking for Industrial Problem Solving is an applied statistics course for scientists and engineers offered by JMP, a division of SAS. By completing this course, students will understand the importance of statistical thinking, and will be able to use data and basic statistical methods to solve many real-world [...]
0
No votes yet

Exploratory Data Analysis with MATLAB (Coursera)

Aug 2nd 2021
Exploratory Data Analysis with MATLAB (Coursera)
Course Auditing
Categories
Effort
Languages
In this course, you will learn to think like a data scientist and ask questions of your data. You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. You will learn to use MATLAB to automatically [...]
0
No votes yet

Fundamentals of Scalable Data Science (Coursera)

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 strongly believe that is is crucial for success to start learning a scalable data science platform since memory and CPU [...]
3
Average: 3 ( 3 votes )

Meaningful Marketing Insights (Coursera)

With marketers are poised to be the largest users of data within the organization, there is a need to make sense of the variety of consumer data that the organization collects. Surveys, transaction histories and billing records can all provide insight into consumers’ future behavior, provided that they are [...]
10
Average: 10 ( 3 votes )