Spatial Analysis & Geospatial Data Science in Python course will teach about the spatial data and its particular methods. Spatial Analysis & Geospatial Data Science is a branch of data science called geospatial data science. In this course, Instructor will conduct a spatial analysis and attempt to glean insights from spatial data.
The course will build the groundwork for a career in geospatial data science. Students will gain first-hand experience with Geopy, Plotly, and other geospatial data science Python packages. The course covers geographical visualisations like choropleths, geographic scatter plots, heat maps, markers, and heat maps in great detail. Each video includes a synopsis of the subject and a walkthrough with samples of the code to make learning more efficient. The courses are usually available at INR 3,499 on Udemy but you can click now to get 87% off and get Spatial Analysis & Geospatial Data Science in Python for INR 449.
Who all can opt for this course?
- Students who are interested in data science
- Students who want to become data scientist by show-casing these projects on his/her resume.
- Students who like to take their first steps in Geospatial data science career
- Python users who are interested in Spatial Data Science
- GIS users who are new to Python and Jupyter notebooks for Geographic data analysis
Course Highlights
| Key Highlights | Details |
|---|---|
| Registration Link | Apply Now! |
| Price | INR 449 ( |
| Duration | 04 Hours |
| Rating | 4.3/5 |
| Student Enrollment | 51,295 students |
| Instructor | Shan Singh https://www.linkedin.com/in/shansingh |
| Topics Covered | Geospatial data analysis in Python, Geographical Scatter Plot, Geographical Heatmap, and Spatial Data |
| Course Level | Beginner |
| Total Student Reviews | 400 |
Learning Outcomes
- Learn about the most important Geopython libraries in this course
- Analyze spatial data using Python
- Discover the fundamentals of Geopy, the workhorse of Python’s spatial data research
- Discover Python’s capabilities for displaying geospatial data (static and interactive maps)
- Understand the basics of geographic data preprocessing
- Apply geocoding to the data
Course Content
| S.No. | Module (Duration) | Topics |
|---|---|---|
| 1. | Introduction (12 minutes) | About Courses benefits |
| Utilize this GOLDEN oppurtunity , QnA section !! | ||
| How to follow this course-Must Watch | ||
| Installation of Anaconda Navigator | ||
| 2. | ——————–Project 1–>>Intro to Zomato use-case (01 minutes) | Overview of Problem Statement |
| Datasets & Resources | ||
| 3. | Perform Data Pre-Processing on Zomato (20 minutes) | Data Pre-Processing |
| Extract Latitudes & Longitudes of Data | ||
| 4. | Zomato Spatial Analysis (37 minutes) | HeatMap of Restaurants Density |
| Idea Behind Marker Cluster | ||
| Generate Marker Cluster Analysis of Restaurants & Heatmap of Restaurant Ratings | ||
| Automate Your Spatial Analysis | ||
| 5. | ——————–Project 2–>> Global Warming Analysis (01 hour 21 minutes) | Datasets & Resources |
| Analyse Average Temperature of country | ||
| Analyse Existence of Global Warming | ||
| Visualise Average Temperature in Each Season | ||
| Analyse Trend In Temperatures for the Top Economies | ||
| Perform Spatial analysis on Average Temperature of USA States | ||
| Visualise Average temperature of major Indian Cities | ||
| Perform Spatial Analysis on Average temperature of major Indian Cities | ||
| 6. | ——————–Project 3 –>> Intro to Covid-19 Project——————– (06 minutes) | Datasets & Resources |
| Reading Data of Covid-19 | ||
| 7. | Spatial Analysis on Covid-19 (36 minutes) | Idea behind Choropleth Maps |
| Choropleth Map for Confirmed Covid-19 Cases | ||
| Choropleth Map of Particular continent | ||
| Idea behind Geographical Scatter plot | ||
| Geographical Scatter plot for Confirmed Covid-19 Cases | ||
| Plotting of Recovery using Choropleth & Geo Scatter plot | ||
| Plotting of Deaths using Choropleth & Geo Scatter plot | ||
| 8. | Covid-19– Interactive Geospatial Data visualisation (30 minutes) | How to extract Latitudes & Longitudes of a location |
| Data Preparation For Spatial Analysis | ||
| Fetch Geographical Co-ordinates of a country | ||
| Idea behind Tileset,Raster & Vector Data | ||
| Use-case of Markers | ||
| creating a base map | ||
| Plot Confirmed Cases using Markers | ||
| Plotting of Recovered & Deaths using Markers | ||
| 9. | Covid-19– Advanced GeoSpatial Analysis (09 minutes) | Plot Deaths using Marker cluster |
| Idea behind Geographic Heatmap | ||
| Geographic HeatMap of Confirmed Cases | ||
| 10. | Bonus Section (15 seconds) | bonus lecture |
Resources Required
- There is no need for GIS expertise
- Instructor will provide a brief theoretical justification along with examples of how it is used in practise
Featured Review
Stefania K. (5/5) : It was a nice course, with interesting information. However, I believe it was a little bit repetitive on the info that each section provided. Nevertheless, it was not very difficult and it was easy to follow!
Pros
- Srikrishna Sampath Kumaran (5/5) : It is nice for warming up and brushing up your skills
- Mr.Philip W. (5/5) : Challenging but interesting.
- Shafiqul Islam S. (5/5) : Amazing Course for geospatial data analysis with pyhton. I am grateful to Instructor & udemy for getting this course. Thank you so much.
- Rakhi S. (5/5) : It’s very easy to learn and very simple language that I can understand very easily
Cons
- Francesco T. (2/5) : This is a very, very, basic course which is fine by me because I’m new to the field and there were some useful things to learn.
- Stefania K. (3.5/5) : It was a nice course, with interesting information. However, I believe it was a little bit repetitive on the info that each section provided. Nevertheless, it was not very difficult and it was easy to follow!
- Gargi C. (3/5) : certain videos were not functioning well so was difficult to understand at once
- Ari S. (3/5) : For the language of instruction to be further improved such as clear pronunciation and intonation that are not rushed and also must be clear, I hope the mentor of this course can improve his English again
About the Author
The instructor of this course is Shan Singh who is a Top Rated & Best-Selling Udemy Instructor , Data Scientist. With 4.4 Instructor Rating and 6,010 Reviews on Udemy, he/she offers 21 Courses and has taught 287,704 Students so far.
- Instructor show you the practical abilities that you need to differentiate yourself from the competition
- Students may find more information here about data science, data analysis, machine learning, time series, and natural language processing
- Learn through undertaking project-based learning and step-by-step lessons
- Instructor work as a data scientist for a living and have seven years of expertise in the financial, e-commerce, retail, and transportation sectors
- Students will quickly see from taking one of the instructor courses how Instructor integrate his own experience with the material to present it in the simplest way possible
- Instructor have a genuine enthusiasm for data analytics, and is eager to impart his skills to the students
Comparison Table
| Parameters | Spatial Analysis & Geospatial Data Science in Python | Natural Language Processing Real-World Projects in Python | Time Series Analysis Real World Projects in Python |
|---|---|---|---|
| Offers | INR 455 ( | INR 455 ( | INR 455 ( |
| Duration | 4 hours | 5.5 hours | 4 hours |
| Rating | 4.3 /5 | 4.6 /5 | 4.9 /5 |
| Student Enrollments | 51,295 | 72,865 | 62,992 |
| Instructors | Shan Singh | Shan Singh | Shan Singh |
| Register Here | Apply Now! | Apply Now! | Apply Now! |
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