Search result for Python data analysis course Online Courses & Certifications
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Accounting Data Analytics with Python
by Ronald Guymon , Linden Lu- 4.1
Approx. 32 hours to complete
This course focuses on developing Python skills for assembling business data. 1 Introduction to Python Data Structures MODULE 5: DATA ANALYSIS WITH PYTHON Execute Python code for wrangling data from different structures into a Pandas dataframe structure. Run and interpret fundamental data analytic tasks in Python including descriptive statistics, data visualizations, and regression....
Artificial Intelligence for Trading
by Cindy Lin , Arpan Chakraborty , Elizabeth Otto Hamel , Eddy Shyu , Brok Bucholtz , Parnian Barekatain , Juan Delgado , Luis Serrano , Cezanne Camacho , Mat Leonard- 0.0
6 Months
Learn the basics of quantitative analysis, including data processing, trading signal generation, and portfolio management. Use Python to work with historical stock data, develop trading strategies, and construct a multi-factor model with optimization. Specific roles include: Quantitative analyst Quantitative researcher Investment analyst Data intelligence analyst Risk analyst Desk quant Desk strategist Financial engineer Financial data scientist...
Managing Data Analysis
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.6
Approx. 9 hours to complete
This one-week course describes the process of analyzing data and how to manage that process. This is a focused course designed to rapidly get you up to speed on the process of data analysis and how it can be managed. Integrate statistical findings to form coherent data analysis presentations Managing Data Analysis...
Intro to Data Analysis
by Caroline Buckey- 0.0
Timeline Approx. 6 Weeks
You'll be using the Python libraries NumPy, Pandas, and Matplotlib. lesson 1 Data Analysis Process Learn about the data analysis process. Complete an analysis of Udacity student data using pure Python, with few additional libraries. lesson 4 Investigate a Dataset Use NumPy and Pandas to go through the data analysis process on one of a list of recommended datasets....
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Design Thinking and Predictive Analytics for Data Products
by Julian McAuley , Ilkay Altintas- 4.5
Approx. 8 hours to complete
This is the second course in the four-course specialization Python Data Products for Predictive Analytics, building on the data processing covered in Course 1 and introducing the basics of designing predictive models in Python. Course Materials Features from Categorical Data Features from Temporal Data Classification in Python Gradient Descent in Python...
Penetration Testing, Incident Response and Forensics
by IBM Security Learning Services- 4.6
Approx. 17 hours to complete
This course gives you the background needed to gain Cybersecurity skills as part of the Cybersecurity Security Analyst Professional Certificate program. You will learn about the different phases of penetration testing, how to gather data for your penetration test and popular penetration testing tools. In this course you will learn to:...
Performing Network, Path, and Text Analyses in SAS Visual Analytics
by Nicole Ball- 4.7
Approx. 4 hours to complete
Course Overview Network: Data Shape Demo: Creating a Network Analysis Data Source Uses for Network Analysis Practice: Analyzing a Network Analysis Data Source Demo: Analyzing a Path Analysis Data Source Practice: Analyzing a Path Analysis Data Source Demo: Analyzing a Text Analysis Data Source Practice: Analyzing a Text Analysis Data Source...
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Understanding and Visualizing Data with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.7
Approx. 20 hours to complete
At the end of each week, learners will apply the statistical concepts they’ve learned using Python within the course environment. (Cool Stuff in) Data Where Do Data Come From? Data Types in Python Introduction to Libraries and Data Management Python Assessment: Univariate Analysis Python Assessment: Multivariate Analysis Create data visualizations and numerical summaries with Python...
Foundations of Sports Analytics: Data, Representation, and Models in Sports
by Wenche Wang , Stefan Szymanski- 4.5
Approx. 49 hours to complete
This course provides an introduction to using Python to analyze team performance in sports. Accessing Data in Python I Accessing Data in Python II Introduction to Sports Data and Plots in Python Introduction to Sports Data and Regression Using Python Regression Analysis - Intro to Cricket Data Using regression analysis - an example with NBA data...
Statistics for Data Science with Python
by Murtaza Haider , Aije Egwaikhide- 4.6
Approx. 12 hours to complete
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. We strongly recommend taking the Python for Data Science course before starting this course to get familiar with the Python programming language, Jupyter notebooks, and libraries....