Learn AI Every Day

A step-by-step progression into the world of data science!

Training Focus

To create a true 360-degree view of your business, you need to track a variety of metrics. Following the roadmap outlined in these courses will help you identify which metrics are essential for your company and how to combine multiple data sets into one compelling report. The ability to make timely business decisions on data-driven insights is key to success—learn how to create real-time reporting solutions with expert tips from our experts.

Data Analysis with Python

This programme prepares you for a career as a data analyst by helping you learn to organise data, uncover patterns and insights, draw meaningful conclusions, and clearly communicate critical findings. You’ll develop proficiency in Python and its data analysis libraries (Numpy, pandas, Matplotlib) as you build a portfolio of projects to showcase in your job search.

Training Overview
Participants will be able to understand and acquire the knowledge of:

  • Data Analysis Process
  • Work with multiple datasets
  • Data Wrangling
  • Data Visualisation with Python
  • Categorising Data
  • Explanatory vs exploratory Analysis
  • Visual Encodings
  • Storytelling

Application

Requirements

No prerequisite knowledge necessary

Functional laptop or mobile device

Timeline

Date: July 26, 2022

Time: 1:00pm – 2:30pm 

Geospatial Data Science

The student will get basic information about spatial data and the overall concept of GIS (Geographic Information Systems) in this class series. This series is a step further from analysis with regular structure data, revealing thoughts on what location data comprises and several techniques to precisely analyze, visualize and uncover actionable knowledge from this data. The learner will go through the major procedures necessary to analyze geographical data, from data collection to delivering business values, using QGIS as an open-sourced tool for learning.

Training Overview
Participants will be able to understand and acquire the knowledge of:

  • Learn different application areas where you can drive business and insight using location data. 
  • Understand the different types of spatial data (raster and vectors) and their attributes. 
  • Carry out spatial analysis using QGIS. 
  • Create spatial visualization on maps to un-cover location intelligent pattern. 
  • Use GIS analyses and reports to address business and societal problems. 

Application

Requirements

No prerequisite knowledge necessary

Functional laptop or mobile device

Timeline

Date: July 28, 2022

Time: 1:00 to 2:30 pm

NO CODE AI WITH BIG ML

Training Overview
Participants will be able to understand and acquire the knowledge of:

  • Build and deploy AI model without writing a single line of code 
  • Use AI No-code to solve industry specific problems without coding 
  • Understand the AI principles guiding the performance of the No-code AI tools 

Application

Requirements

No prerequisite knowledge necessary

Functional laptop or mobile device

Timeline

Date: July 25, 2022

Time: 1:00 to 2:30 pm

Building HR Employee Analytics Insight Dashboard using Power BI

This course is ideal if you want to learn how to leverage your reporting and analytical skills to drive timely business decisions. 

You will learn how to identify the important metrics needed to create actionable results.  

You’ll also develop innovative strategies for consolidating enormous data into one compelling report, as well as how to create real-time reporting and analysis. 

Application

Previous Session On Insurance Analytics
Timeline

Date: July 27, 2022

Time: 1:00 to 2:30 pm

ABOUT DATA SCIENTISTS NETWORK

Annual Reports:
2020/2021: Annual Report
2019/2020: Annual Report
2018/2019: Annual Report
2017/2018: Annual Report

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