DATA ANALYSIS AND BUSINESS INTELLIGENCE TRAINING COURSE
Institute for Entrepreneurship and Development Studies, Obafemi Awolowo University,
www.ifeds.oauife.edu.ng
In Partnership with
E-PHIS Consulting
Present
DATA ANALYSIS AND BUSINESS INTELLIGENCE TRAINING COURSE
Course Overview/Description
This Data Analytics Professional Certificate Course from E-PHIS Consulting in partnership with the Institute of Entrepreneurship and Development Studies Obafemi Awolowo University (IFEDOAU) provides fundamental concepts of data analytics through real-world case studies and examples and gives insights into how to apply data and analytics principles in your business. It prepares you with job-ready skills for an entry-level data analyst role.
You will learn about project lifecycles, the difference between data analytics, data science, and machine learning; building an analytics framework, and using analytics tools to draw business insights.
You will learn the core principles of data analysis, participate in hands-on skills-based practice, and gain the knowledge to help companies make smarter business decisions. You will work with a variety of data sources, project scenarios, and data analysis tools, including Excel, Python, Tableau and R.. These online learning tools will offer you practical experience with data manipulation and the application of analytical and data visualization techniques.
Position yourself competitively and power your data analyst career for a job in a thriving market or leverage foundational data skills to explore problems in an increasingly data-driven professional world.
Key Learning Outcomes
After the completion of this course, Data Analysis and Business Intelligence Training Course, you will be able to accomplish the following:
• Solve analytical problems in real-world scenarios.
• Define effective objectives for analytics projects.
• Work with different types of data.
• Be aware of the importance of data visualization to drive more effective business decisions and ROI.
• Recognize charts, graphs, and tools used for analytics and use them to gain valuable insights.
• Create an analytics adoption framework.
• Identify upcoming trends in data analytics.
Prerequisites/Audience
Who Should Attend
This course is ideal for anyone who wishes to learn the fundamentals of data analytics and pursue a career in this growing field. The course also caters to C-level and middle management professionals who want to improve their ability to derive business value and ROI from analytics.
Prerequisites
This Professional Certificate Course has been designed for all levels, does not require any prior programming or statistical skills, and is suitable for learners with or without college degrees. A willingness to learn, basic computer literacy, comfort working with numbers, familiarity with mathematics (high school math) is helpful, and a desire to enrich your profile with valuable skills is all you need to get started in this course.
With this course, you will develop the confidence and portfolio to begin a career as an associate or junior data analyst by learning the essential skills that help professionals in a wide range of job functions and industries explore business problems.
Registration Fee is 25, 000:00 (NGN)
What is the test structure of the DABI Course?
50 Objective questions with only one right answer.
70% pass percentage
One hour time-box to finish the test.
2 months time to take the test from the date of training.
4 attempts to pass the test
Registration Fee is 25, 000:00 (NGN)
2 - 3 Weekends
Mode of Training
Online / Onsite
Scholarship
Undergraduate/NYSC Member can receive up to 50% discount (T&C apply)
Workshop: Learning During Workshop
Lesson 01 - Data Analytics Overview
Learn the fundamentals of Data Analytics and gain an understanding of the data ecosystem, the process and lifecycle of data analytics, career opportunities, and the different learning paths you can take to be a Data Analyst. Types of Data Analytics, Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Prescriptive Analytics, Data Analytics Importance: Decision-making, Data Analytics Benefits: Cost Reduction, Data Analytics Benefits: Example, Data Analytics: Other Benefits, and Key Takeaways.
Lesson 02 - Dealing with Different Types of Data
Introduction, Terminologies in Data Analytics - Part One, Terminologies in Data Analytics - Part Two, Types of Data, Qualitative and Quantitative Data, Data Levels of Measurement, Normal Distribution of Data, Statistical Parameters, Key Takeaways.
Lesson 03 - Analyzing Data with Excel
Introduction, Build the fundamental knowledge required to use Excel spreadsheets to perform basic data analysis. The course covers the basic workings and key features of Excel to help students analyze their data. Key Takeaways.
Lesson 04 - Data Visualization and Building Dashboards with Excel
Build the fundamental knowledge necessary to use Excel to create data visualizations and to create dashboards containing those visualizations to help tell a lucid story about data.
Lesson 05: Python Basics for Data Science
This Python course introduces Python for Data Science. Practice through lab exercises to create your first Python scripts.
Lesson 06: Analyzing Data with Python
In this course, you will learn how to analyze data in Python using multi-dimensional arrays in numpy, manipulate and DataFrames in pandas.
Lesson 07 – Analyzing Data with Tableau
Introduction, Build the fundamental knowledge required to use Tableau to perform basic data analysis. The course covers the basic workings and key features of Tableau to help students analyze their data. Key Takeaways.
Lesson 08: Data Analysis with R. Programming Language
Equip you with the skills needed to apply to introductory-level data analyst jobs. In this course, you will learn about the programming language known as R. You will find out how to use RStudio, the environment that allows you to work with R. This course will also cover the software applications and tools that are unique to R, such as R packages. You will discover how R lets you clean, organize, analyze, visualize, and report data in new and more powerful ways.
Lesson 09: Analytics Framework and Latest trends
Introduction, Case Study, Customer Analytics Framework, Data Understanding, Data Preparation, Modeling, Model Monitoring, Latest Trends in Data Analytics, Graph Analytics, Automated Machine Learning, Open Source AI, Key Takeaways.
2021 August Cohort Training Schedule Online (WAT):
Cohort 1
Sat 07th: 11:00am to 2:00pm - Sun 08th: 3:00pm to 6:00pm
Sat 14th: 11:00am to 2:00pm - Sun 15th: 3:00pm to 6:00pm
Cohort 2
Sat 21st: 11:00am to 2:00pm - Sun 22nd: 3:00pm to 6:00pm
Sat 28th: 11:00am to 2:00pm - Sun 29th: 3:00pm to 6:00pm
Registration Fee is 25, 000:00 (NGN)
