Course Overview
Proper management, analysis and utilisation of data have become critical for businesses and organisations to gain a competitive edge, and drive innovation.
This course is designed for anyone that is looking to elevate their career to an enriching tech job. You will be equipped with the knowledge and skills required to resolve business challenges and bring value to the workplace.
Common responsibilities for Data Analysts include extracting data using special tools and software, responding to data-related queries, setting up processes to make data more efficient, analysing and interpreting trends from the data, and reporting trends to add business value.
Data analytics experts are in high demand within the global tech industry. Analysts evaluate data to gain critical insights and solve problems that impact on a business and thereby boost profits.
Course Structure
Days | Activity | Time |
---|---|---|
Thursday | Data Analytics Training | 7:00pm - 10:00pm UK Time 7:00pm - 10:00pm WAT |
Friday | Data Analytics Training | 7:00pm - 10:00pm UK Time 7:00pm - 10:00pm WAT |
Saturday | Data Analytics Session | 10:00am - 2:00pm UK Time 10:00am - 2:00pm WAT |
Monday | Sprint Review | 7:00pm - 10:00pm UK Time 7:00pm - 10:00pm WAT |
Tuesday | Spring Retro / Sprint Planning Daily Stand-Up meetings of 15 minutes (TIME AGREED BY TEAM) |
7:00pm - 10:00pm UK Time 7:00pm - 10:00pm WAT |
Learning Objectives
Upon embarking on this program, you will learn to:
Learn about careers and opportunities that exists within the industry
Learn the concept of data analytics, its applications, processes, workflow
Get familiar with tools being used globally to analyse and process data.
Understand working with Excel as a data analyst, the different data analytics process, use of excel functions and the stages in carrying out data analysis
Master tools like Power BI, and become proficient in SQL and also become familiar with Python ion to Python for Data Analytics.
Identify, locate, evaluate, collect, compile and responsibly use data and associated materials from multiple sources relevant for Data Analytics.
Use appropriate models of analysis, assess the quality of input, derive insight from results, and investigate potential issues.
take large volumes of complex data, extract insights, and help solve business problems.
Course Benefits
Here are some phrases highlighting the benefits
of taking courses
Informed Decision Making
Improved Efficiency and Productivity
Enhanced Customer Experience
Predictive Analytics
On-the-job support
Digital Product Simulation
Discounted access to DCA Work Experience Program
Data Analytics Program Schedule
We offer a wide range of opportunities for you.
See what you get and your benefits
INTRODUCTION TO DATA ANALYTICS
INTRODUCTION TO DATA ANALYTICS WITH EXCEL
IN-DEPTHS OF EXCEL
INTRODUCTION TO SQL
IN DEPTHS OF SQL
POWERBI
POWER BI DASHBOARD
PROJECT DEVELOPMENT
PPROJECT DEV CONT.
Pricing
Flexible and Convenient Pricing Option
Our flexible pricing option has made achieving your goals easier i.e getting a course.
You can conveniently pay for your desired course as in full and enjoy
discount or paying in installment for over 2 - 3 months period
Agile Scrum Ceremonies:
Sprint Planning:
This is a meeting for the team to consider items of work to be completed and commits to what they have capacity to deliver during the coming Sprint.
Daily Stand-Up:
This is a 15-minute team meeting to provide updates and progress of individual work done towards adding value to product development.
Scrum Review:
This is where the team showcases what they have completed for the Stakeholders’ review and feedback and get a sign-off.
Scrum Retrospective:
This is a meeting where the team reflects on their performance during the current Sprint and seek ways to improve their interaction, practices and lessons learnt
Sprint:
This is a cycle of work for the team (can be 1 - 4 weeks interval)
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