eLearning Bundle - Powerful Packages for Problem Solving Online Course

eLearning Bundle - Powerful Packages for Problem Solving

by Certstaffix® Training

Length: 3 Course(s)      Price: $600/person (US Dollars)      Bulk Pricing: 6+ Contact Us      Access Length: 6 Months      Category: Data Science


This eLearning bundle consists of these 3 courses: Beginning Data Science with Python and Jupyter, Python Data Analysis with NumPy and pandas (panel data) and Hands-On Geospatial Analysis with R and QGIS 3.4.
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  Online Data Science Classes: Learn at Your Own Pace

We will enroll you into a demo (Windows 10) eLearning session. Login information will be emailed to you.

Prefer a self-paced learning solution to fit your own schedule? Certstaffix® Training offers eLearning courses bundled together:

  • Learn at your own pace - Start and stop as it is convenient for you. Pick up where you left off.
  • Lecture utilizing video and recorded screen shots
  • 6 month subscription length

  Detailed Training Topics

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POWERFUL PACKAGES FOR PROBLEM SOLVING

Beginning Data Science with Python and Jupyter - 2 hours and 49 minutes

Getting started with data science doesn’t have to be an uphill battle. This step-by-step video course is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction. Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. You’ll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world.We'll start with understanding the basics of Jupyter and its standard features. You'll be analyzing an example of a data analytics report. After analyzing a data analytics report, next step is to implement multiple classification algorithms. We’ll then show you how easy it can be to scrape and gather your own data from the open web, so that you can apply your new skills in an actionable context. Finish up by learning to visualize these data interactively.

Python Data Analysis with NumPy and pandas - 13 hours and 22 minutes

This is a rapid introduction to NumPy, pandas and matplotlib for experienced Python programmers who are new to those libraries.

Hands-On Geospatial Analysis with R and QGIS 3.4 - 2 hours and 11 minutes

Integrating geospatial data science and traditional cartographic methods is in demand for modern geospatial analysts. In an age of flourishing data products, having a working proficiency with QGIS and R is an added advantage to every analyst.

This course introduces you to the full workflow, ranging from acquiring data, data wrangling, and analysis to outputting and publishing visualization products. We touch on a variety of datasets (including remote-sensing data and techniques) and incorporate machine learning in QGIS analytical steps. We further investigate geospatial analysis using the most up-to-date R packages, such as ggplot2, raster, sf, Leaflet, and Shiny.

By the end of the course, you will be able to produce interactive maps and professional cartographic products, deploy them as a Shiny application, and critique a variety of end-results.
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