Training and Certifications > Business Courses > Data Analytics

Data Analytics and Data Science Training 

Trends-2018

For an organisation to become really analytics-driven a philosophy of data-driven decision-making must be ingrained at every level. In order for this to happen, analytics training must be provided at every level.

New Horizons Nicosia has teamed up with several partners who are experts in Data Analytics to provide focused training courses in all aspects of analytics from the strategic managerial level, to advanced implementation techniques. Places can be taken on our regular scheduled courses or bespoke courses can be delivered in-house, and tailored to the very specific needs of your organisation.

Course List

Data Science Training Pathway

Follow the pathway below as you establish and develop your Data Science expertise.

Foundational

Start here. You should take either Excel 2019 – Part 3 or Data Analysis and Visualization with Microsoft Excel.

Excel 2019 - Part 1
Excel 2019 - Part 2
Excel 2019 - Part 3 or
Data Analysis and Visualization with Microsoft Excel [v1.1]
Tableau® Desktop - Part 1
Tableau® Desktop - Part 2
20778 Analyzing Data with Power BI

Python

You should take “Python Programming - Advanced” before continuing to Job Role training.

Using Data Science Tools in Python (v1.0)

Job Role

Database Management

Database Design - A Modern Approach
SQL Querying Fundamentals - Part 1
SQL Querying Fundamentals - Part 2


Course Starts Location Price

Learning Objectives

After completing this course, students will be able to:

  • Ingest, clean, and transform data
  • Model data for performance and scalability
  • Design and create reports for data analysis
  • Apply and perform advanced report analytics
  • Manage and share report assets
  • Create paginated reports in Power BI

4 day course Live Online Can be run in our Nicosia Classrooms We can send our Instructor to your premises

Course Starts Location Price

Excel - Automating Excel with Macros and Analysis Tools

This course is designed for students desiring to gain skills necessary to create macros, collaborate with others, audit and analyse data, incorporate multiple data sources, and import data.

Upon successful completion of this course, students will be able to enhance productivity and efficiency by streamlining workflow, collaborate with others, and audit and analyse data.


1 day course Live Online Can be run in our Nicosia Classrooms We can send our Instructor to your premises

Course Starts Location Price

Google Analytics - Foundation

Upon successful completion of this course, you will be able to implement Google Analytics and perform analysis using standard reports.

You will:

  • Implement Google Analytics
  • Configure Google Analytics
  • Configure goals, funnels, and filters
  • Configure monitoring and alerting
  • Analyze website traffic
  • Analyze behavior and conversion

1 day course Normally runs 14:00 to 22:00 GMT Live Online Can be run in person.
Contact us for details.

Course Starts Location Price

DP-100 Designing and Implementing a Data Science Solution on Azure

Gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline. This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.

This role is responsible for solving the business problem that initiated the project. While the Data Engineer will prepare the data to be used for the models, the Data Scientist determines what data is needed for model training, creates model features from the data, determines what machine learning model to use, trains and evaluates the model, and often has involvement in model deployment. Often the data scientist needs to evaluate multiple models to determine which performs the best.


3 day course Normally runs 14:00 to 22:00 GMT Live Online Can be run in person.
Contact us for details.

Course Starts Location Price

Using Data Science Tools in Python®

In this course, you will use various Python tools to load, analyze, manipulate, and visualize business data.

You will:

  • Set up a Python data science environment.
  • Manage and analyze data with NumPy arrays.
  • Manipulate and modify data with NumPy arrays.
  • Manage and analyze data with pandas DataFrames.
  • Manipulate, modify, and visualize data with pandas DataFrames.
  • Visualize data with Matplotlib and Seaborn

2 day course Normally runs 14:00 to 22:00 GMT Live Online Can be run in person.
Contact us for details.

Course Starts Location Price