Search result for Data science Online Courses & Certifications
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Cleaning Data In R with Tidyverse and Data.table
by R-Tutorials Training- 4.2
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4 hours on-demand video
Get your data ready for analysis with R packages tidyverse, dplyr, data. As always in data science, R has a solution ready for any scenario that might arise. Outlier detection, missing data imputation, column splits and unions, character manipulations, class conversions and much more - all of this is available in R....
$11.99
Lazy Trading Part 7: Developing Self Learning Trading Robot
by Vladimir Zhbanko- 4.3
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3 hours on-demand video
Predict future price change based on financial data patterns Use R Statistical Software to aggregate data to be ready for modeling Back-test trading strategy using Model prediction and historical data Learn using R to read, manipulate data and perform Machine Learning including Deep Learning These courses are not meant to teach basics of Data Science or Trading...
$12.99
Qualitative Research Methods
by Gerben Moerman- 4.6
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Approx. 24 hours to complete
You will learn about data collection, description, analysis and interpretation in qualitative research. We will focus on the ingredients required for this process: data collection and analysis....
Knowledge Management and Big Data in Business
by W.B. Lee , Klaus Tochtermann , Usama Fayyad , Eric Tsui- 0.0
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8 Weeks
Learn about the integrative power of knowledge management, Big Data and Cloud Computing, and how they impact the new business era. What is big data and how can we use data analytics from a laymen perspective? What is Open Linked Data and how can it support machine reasoning? How to analyze large quantities of data and information through analytics...
$50
How to Win a Data Science Competition: Learn from Top Kagglers
by Dmitry Ulyanov , Alexander Guschin , Mikhail Trofimov , Dmitry Altukhov , Marios Michailidis- 4.7
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Approx. 54 hours to complete
If you want to break into competitive data science, then this course is for you! Participating in predictive modelling competitions can help you gain practical experience, improve and harness your data modelling skills in various domains such as credit, insurance, marketing, natural language processing, sales’ forecasting and computer vision to name a few....
Knowledge Management and Big Data in Business
by Eric Tsui , W.B. Lee , Klaus Tochtermann , Usama Fayyad- 0.0
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8 Weeks
Learn about the integrative power of knowledge management, Big Data and Cloud Computing, and how they impact the new business era. What is big data and how can we use data analytics from a laymen perspective? What is Open Linked Data and how can it support machine reasoning? How to analyze large quantities of data and information through analytics...
$169
Applied Statistics with Python
by Ben Tasker , David Sze- 0.0
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16 Weeks
Analyze data using statistical methods and technology. This course helps prepare you for positions that require the analysis of large data sets, providing the statistics foundation you’ll need for data analysis. This course specifically explores inferential statistics - the science of applying statistical techniques to quantify and answer real-world data analysis questions....
$498
Python in Containers
by Kris Celmer- 4.3
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24 hours on-demand video
"This course is absolute gold for data science and machine learning people because all Docker and Kubernetes courses out there focus on nothing but web applications. Develop and Explore Machine Learning & Data Science Jupyter Notebooks in Docker...
$14.99
Python and Statistics for Financial Analysis
by Xuhu Wan- 4.4
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Approx. 13 hours to complete
Python is now becoming the number 1 programming language for data science. - Import, pre-process, save and visualize financial data into pandas Dataframe - Manipulate the existing financial data by generating new variables using multiple columns Visualizing and Munging Stock Data 1 Packages for Data Analysis 2 Importing data...
Statistics with R Capstone
by Merlise A Clyde , Colin Rundel , David Banks , Mine Çetinkaya-Rundel- 4.6
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Approx. 6 hours to complete
A large and complex dataset will be provided to learners and the analysis will require the application of a variety of methods and techniques introduced in the previous courses, including exploratory data analysis through data visualization and numerical summaries, statistical inference, and modeling as well as interpretations of these results in the context of the data and the research question....
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