Search result for SQL for Data Analysis Online Courses & Certifications
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Python and Machine-Learning for Asset Management with Alternative Data Sets
by Gideon OZIK , Sean McOwen- 4.4
Approx. 19 hours to complete
Over-utilization of market and accounting data over the last few decades has led to portfolio crowding, mediocre performance and systemic risks, incentivizing financial institutions which are looking for an edge to quickly adopt alternative data as a substitute to traditional data. Textual Analysis for Financial Applications Extra materials on Textual Analysis for Financial Applications...
Social Media Data Analytics
by Chirag Shah- 4.1
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. (Optional) Introduction to Python for Econometrics, Statistics and Data Analysis Video-4: Social Media Data Analysis with R Statistical Analysis with Twitter Data...
Ordered Data Structures
by Wade Fagen-Ulmschneider- 4.8
Approx. 19 hours to complete
In this course, you will learn new data structures for efficiently storing and retrieving data that is structured in an ordered sequence. Such data includes an alphabetical list of names, a family tree, a calendar of events or an inventory organized by part numbers. 3 Run Time Analysis Additional References for C++...
The Complete SQL Bootcamp for Beginner
by Jason Zhang- 4.9
4 hours on-demand video
Learn how to use SQL effectively to analyse data In this SQL Bootcamp course you'll learn SQL Basic queries, such as SELECT FROM with WHERE clause etc. SQL operators to filter results with constraints, such as LIKE/IN/BETWEEN operators SQL Aggregate functions and More complex subqueries A Real-world Case Study, to understand how SQL can do data analysis...
$12.99
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...
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...
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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...
Data Analysis with Python
by Joseph Santarcangelo- 4.7
Approx. 13 hours to complete
You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more! 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....
Getting Started With Application Development
by Google Cloud Training- 4.5
Approx. 17 hours to complete
Participants learn how to apply best practices for application development and use the appropriate Google Cloud storage services for object storage, relational data, caching, and analytics. Practice Quiz: Best Practices for Application Development Differentiate between data storage options for various types of application data Implement solution for storing non-relational application data in Datastore...