Search result for Python for data analysis Online Courses & Certifications
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Data Analysis with Python
by Joseph Santarcangelo- 4.7
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Approx. 13 hours to complete
Data Analysis with Python will be delivered through lecture, lab, and assignments. Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. Python Packages for Data Science Importing and Exporting Data in Python Getting Started Analyzing Data in Python Practice Quiz: Python Packages for Data Science...
Social Media Data Analytics
by Chirag Shah- 4.1
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Approx. 13 hours to complete
- Analyze unstructured data - primarily textual comments - for sentiments expressed in them. - Use different tools for collecting, analyzing, and exploring social media data for research and development purposes. Video-3: Using Python to Extract Data from Twitter Video-4: Using Python to Extract Data from YouTube (Optional) Introduction to Python for Econometrics, Statistics and Data Analysis...
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...
Fundamentals of Data Science with Python
by Packt Publishing- 3.8
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2.5 hours on-demand video
Python has grown into a key language that can be used to develop solutions for a variety of data science challenges. 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. Python for Data Science...
$12.99
Intro to Data Analysis
by Caroline Buckey- 0.0
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Timeline Approx. 6 Weeks
lesson 1 Data Analysis Process Learn about the data analysis process. lesson 2 NumPy and Pandas for 1D Data Start learning to use NumPy and Pandas to make the data analysis process easier. lesson 4 Investigate a Dataset Use NumPy and Pandas to go through the data analysis process on one of a list of recommended datasets....
Free
Data Processing Using Python
by ZHANG Li- 4.2
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Approx. 29 hours to complete
It starts with the basic syntax of Python, to how to acquire data in Python locally and from network, to how to present data, then to how to conduct basic and advanced statistic analysis and visualization of data, and finally to how to design a simple GUI to present and process data, advancing level by level....
AI Workflow: Data Analysis and Hypothesis Testing
by Mark J Grover , Ray Lopez, Ph.D.- 4.2
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Approx. 11 hours to complete
In this course you will begin your work for a hypothetical streaming media company by doing exploratory data analysis (EDA). Describe strategies for dealing with missing data If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses....
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Machine Learning for Data Analysis
by Jen Rose , Lisa Dierker- 4.2
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Approx. 10 hours to complete
Building a Decision Tree with Python Some Guidance for Learners New to the Specialization SAS or Python - Which to Choose? Getting Started with Python Course Data Sets Uploading Your Own Data to SAS Data Set for Decision Tree Videos (tree_addhealth. Data Management for Lasso Regression in Python Python Code: k-Means Cluster Analysis...
Regression Modeling in Practice
by Jen Rose , Lisa Dierker- 4.4
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Approx. 11 hours to complete
This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Python Program Code for Video Examples Python Program Code for Video Examples Python Lesson 3: Logistic Regression for a Binary Response Variable, pt. Python Lesson 4: Logistic Regression for a Binary Response Variable, pt....
Data Analysis and Visualization
by Peter Baumgartner , Brittany O'Dea- 4.3
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Approx. 11 hours to complete
By the end of this course, learners are provided a high-level overview of data analysis and visualization tools, and are prepared to discuss best practices and develop an ensuing action plan that addresses key discoveries. It begins with common hurdles that obstruct adoption of a data-driven culture before introducing data analysis tools (R software, Minitab, MATLAB, and Python)....
