INTRODUCTORY DATA ANALYTICS FOR NEW BUSINESS AND FINANCIAL ANALYSTS

Tickets
From ₦ 166,625.00 to ₦ 247,250.00
× Tickets
Live-Online Training
₦ 166,625.00 166625.0 NGN
Classroom
₦ 247,250.00 247250.0 NGN

Live-Online Training: N 166,625
Classroom Training: N 247,250
3 - 4 participants: 5% discount
5 or more participants: 10% discount

(Available also for Customised Training by Duration, Venue & Fee)

Course Description

This intensive 4-day training program is designed to equip new business and financial analysts with foundational knowledge and practical skills in data analytics. Participants will learn key concepts, techniques, and tools necessary to analyze data effectively and derive actionable insights to support business decision-making.

 Course Objectives

  • Understand the fundamentals of data analytics and its relevance to business and financial analysis.
  • Gain proficiency in data manipulation, visualization, and interpretation using popular analytics tools.
  • Develop the ability to apply statistical methods to analyze and interpret data accurately.
  • Learn how to utilize data analytics to identify trends, patterns, and correlations relevant to business performance.
  • Acquire hands-on experience through practical exercises and case studies to reinforce learning.

 Course Content

DAY ONE

 Introduction to Data Analytics

  • Overview of data analytics and its significance in business and finance
  • Introduction to key analytics concepts and terminology
  • Understanding different types of data (structured vs. unstructured)

Data Cleaning

  • Introduction to data cleaning and preprocessing techniques

 DAY TWO

Data Manipulation

  • Hands-on practice with data manipulation using tools like Excel, SQL
  • Strategies for handling missing data and outliers

Data Visualization

  • Importance of data visualization in data analysis
  • Introduction to visualization tools such as Tableau, Power BI, or Google Data Studio
  • Design principles for creating effective visualizations

 DAY THREE

 Statistical Analysis

  • Fundamentals of statistical analysis for business and financial data
  • Descriptive statistics: measures of central tendency and dispersion
  • Inferential statistics: hypothesis testing, correlation, and regression analysis

 DAY FOUR

Applying Data Analytics in Business Decision Making

  • Practical applications of data analytics in business and finance
  • Case studies and real-world examples of data-driven decision-making
  • Final project: Analyzing a business dataset and presenting insights to support decision-making


Date & Time
Monday
May 20, 2024
Start - 8:30 AM
Thursday
May 23, 2024
End - 3:00 PM Africa/Lagos
Location

Tom Associates Training

5/7, Alade Lawal Street, Opposite Anthony Police Station, Off Ikorodu Road, Anthony Village,
NG-LA
Nigeria
+234 817 859 1654
+234 809 276 3968 | +234 810 365 2225
tomassociatestraining@yahoo.com | info@tomassociatesng.com
Get the direction
Organizer

Tom Associates Training

+234 817 859 1654
+234 809 276 3968 | +234 810 365 2225
tomassociatestraining@yahoo.com | info@tomassociatesng.com