Geospatial Data Science or analysis is an intensive training that will guide you through the process of using location-based information. From beginner concepts to advanced techniques, you will receive sound training on exploring geo data using Python programming language. This hands-on training equips you with the tools to unlock valuable insights from maps and spatial data, empowering you to tackle real-world challenges across various domains using spatial data.

What you will Gain from the Geospatial Data Science:

● Supportive and innovative teaching environment
● Extra support session weekly
● Practical teaching from resourceful and internationally trained instructors
● Solid Project portfolio
● Employability skills
● Job coaching and vacancies newsletter for job seekers
● Webinars with International Speakers.

Course Outlines (Python-Based)

Introduction to Geospatial Data Analysis

Overview of Geospatial Data

Definition and characteristics of geospatial data

Getting Started with Python for Geospatial Data Analysis

Introduction to Python programming language

Setting up the development environment

Foundational python (variables, data types, logical operators, control structures, functions)

Introduction to key Python libraries for geospatial data analysis (Pandas, numpy, Geopandas, Shapely, Fiona, Matplotlib, Seaborn, Rasterio, PyProj, Folium)

Data Acquisition and Management

Importing geospatial data formats (Shapefiles, GeoTIFF, etc.)

Data manipulation and transformation using GeoPandas and other libraries

Cleaning and preprocessing geospatial data

Spatial Analysis Techniques

Spatial querying and selection

Spatial joins and overlays

Spatial operations (buffering, clipping, intersection, etc.)

Spatial statistics and analysis (e.g., spatial autocorrelation, hotspot analysis)

Geospatial Data Visualization

Introduction to data visualization principles

Plotting geospatial data using Matplotlib and Seaborn

Creating interactive maps with Folium or Plotly

Advanced Topics in Geospatial Data Analysis

Introduction to remote sensing data analysis

Introduction to spatial machine learning techniques

Introduction to web mapping and geospatial web services

Group projects or capstone projects applying geospatial data analysis techniques

Assessment and Evaluation

Program Duration: 2 Months.

Schedule: 3 Classes per Week (Option of Face to Face or Online Training Available).

PLEASE NOTE: Face-to-Face Training is ONLY available in Abuja.

Face-to-Face Training Time: 10:00 am – 3 pm (Tuesday, Friday, and Saturday every Week).

Online Training Time: 8:00 pm – 10:00 pm (Thursday, Friday, and Saturday every Week)

Note: No prior coding experience is required as we provide training from the ground up. Similarly, no prior knowledge of Geospatial analysis is necessary.

Face-to-Face Course Fee (Training Only Available in Abuja, Nigeria): N200,000 (Pay in 2 Instalments, the first payment is N150,000). Sorry, your application will not be considered if you can’t pay your training fee.

Online Course Fee (Live Instructor, open to international trainees also): N200,000 (Pay in 2 Instalments, the first payment is N150,000). Sorry, your application will not be considered if you can’t pay your training fee.

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Ready to Start ? Register Now

(REGISTRATION WILL OPEN EARLY 2025)

What Our Trainees are Saying

I would absolutely recommend Datalab to anyone looking to kick start their career in data science. They have a concise curriculum that allows swift understanding of Data tools and concepts, not to mention they have a talented staff body keen on helping you understand it.

Daisi Feyisayo, Student

Five stars signify top notch, highest pinnacle of success. That's how I can summarily describe DataLab Nigeria. The instructors are very good, friendly, and patient with their interns. Complacency stifles progress. Progress never ends. DataLab Nigeria continues to make progress. More power to your elbow.

Inuwa Yusuf, Student

The past three months with DataLab have been so amazing. The tutors are passionate in regards, imparting knowledge to their students. The classes were also really interactive. I would highly recommend the program to anyone looking to start a career in Data Science.

Chibuzor StellaMaris, Student

I recently completed a three month internship program with Datalab at their Abuja office. They are very resourceful, and broad in their training. We cover different courses including Python , R, Sql and Tableau. What I like about them is their thrive for inclusion. They tried much to carry everyone along even with my tight schedule. I highly recommend Datalab Nigeria for Training in Data Science.

Etiese James, Student

Data analytics has never been taught any better than at Datalab. Datalab has well-experienced instructors with great pedagogy skills, sufficient data set to work on, and all interactive and practical sessions make learning seamless.

Charles Jang, Student