Search result for Python for data analysis Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 2,983 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Python for Machine Learning and Data Mining
by CARLOS QUIROS- 3.6
-
![]()
![]()
![]()
![]()
![]()
12.5 hours on-demand video
This course is focused on practical approach, so i'll supply you useful snippet codes and i'll teach you how to build professional desktop applications for machine learning and datamining with python language. We will make a review of the main packages for scientific use and data analysis in python such us Numpy, Pandas, Matplotlib, Seaborn, Scikit-Learn and more....
$11.99
Python for Time Series Data Analysis
by Jose Portilla- 4.7
-
![]()
![]()
![]()
![]()
![]()
15.5 hours on-demand video
Learn how to use Python , Pandas, Numpy , and Statsmodels for Time Series Forecasting and Analysis! Welcome to the best online resource for learning how to use the Python programming Language for Time Series Analysis! This course will teach you everything you need to know to use Python for forecasting time series data to predict new future data points....
$19.99
Python 3 Data Science: NumPy, Pandas, and Time Series
by Ashwin Pajankar • 50,000+ Students Worldwide- 3.6
-
![]()
![]()
![]()
![]()
![]()
13 hours on-demand video
Become a Master in Data Acquisition, Visualization, and Time Series Analysis with Python 3 and acquire employers' one of the most requested skills of 21st Century! An expert level Data Science professional can earn minimum $100000 (that's five zeros after 1) in today's economy. Installation of Python 3 on Windows Data Acquisition with Python 3...
$12.99
Learning Python for Data Analysis and Visualization
by Jose Portilla- 4.4
-
![]()
![]()
![]()
![]()
![]()
21 hours on-demand video
You will also get lifetime access to over 100 example python code notebooks, new and updated videos, as well as future additions of various data analysis projects that you can use for a portfolio to show future employers! - Have an amazing portfolio of example python data analysis projects! ...
$21.99
Data Science Project: MATLAB for the Real World
by Michael Reardon , Brandon Armstrong , Erin Byrne , Adam Filion , Heather Gorr , Maria Gavilan-Alfonso , Matt Rich , Isaac Bruss- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 13 hours to complete
Like most subjects, practice makes perfect in Data Science. The project will test your ability to import and explore your data, prepare the data for analysis, train a predictive model, evaluate and improve your model, and communicate your results. Data and Code Files Tasks for Exploring and Cleaning the Taxi Data...
Bayesian Statistics: From Concept to Data Analysis
by Herbert Lee- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 12 hours to complete
This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. Priors and Models for Discrete Data Data analysis example in R Data analysis example in Excel Models for Continuous Data Supplementary material for Lesson 10 Supplementary material for Lesson 11...
Analyze Data to Answer Questions
by Google Career CertificatesTop Instructor- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 25 hours to complete
- Learn how to organize data for analysis. Aggregating data for analysis Aggregate data for analysis Learning Log: Finish your data analysis checklist Discuss the importance of organizing your data before analysis with references to sorts and filters Apply the use of functions and syntax to create SQL queries for combining data from multiple database tables...
Related searches
Statistics with R Capstone
by Merlise A Clyde , Colin Rundel , David Banks , Mine Çetinkaya-Rundel- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 6 hours to complete
The analysis will implement both frequentist and Bayesian techniques and discuss in context of the data how these two approaches are similar and different, and what these differences mean for conclusions that can be drawn from the data. Exploratory Data Analysis (EDA) Final Data Analysis - Submission Final Data Analysis - Evaluation...
Python Project: pillow, tesseract, and opencv
by Christopher Brooks- 4
-
![]()
![]()
![]()
![]()
![]()
Approx. 20 hours to complete
This course will walk you through a hands-on project suitable for a portfolio. By the end of the course you will have worked with three different libraries available for Python 3 to create a real-world data-analysis project. The course is best-suited for learners who have taken the first four courses of the Python 3 Programming Specialization....
Studying Cities: Social Science Methods for Urban Research
by Laura Neijenhuis , Jan Fransen , Dorcas Nthoki , Rick Wolff , Maria Zwanenburg- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 7 hours to complete
During the course you will gain more insight in the different steps of the research cycle, and build a firm foundation for your own future research endeavors. Introduction to Studying Cities: Social Science Methods for Urban Research Qualitative Data Analysis: Tips for Coding Data Analysis: Primary Quantitative Data Analysis Data Analysis: Secondary Quantitative Data Analysis Data Analysis: Quantitative Data Analysis...
Previous
