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→ Digital Innovation and Transformation
→ Energy and Water Management
→ Financial Technology (FinTech)
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→ Interpersonal Skills and Self Development
→ IT Management
→ Leadership and Management
→ Legal
→ Maintenance and Engineering
→ Marketing and Sales
→ Monetary Economics
→ Monitoring and Evaluation
→ Oil and Gas
→ Planning and Strategy Management
→ Port and Shipping Management
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Introduction to Data

Why Attend

Day 1: Problems Solved by Data Analysts

Overview

Course Outline

Schedule & Fees

Course Methodology

Instructor-led training that uses interactive learning methods, including class discussion, small group activities, and role-playing

Course Objectives

 Questions about Student Data Solution;  Investigating the Data;  Problems in the Data ;  Missing Engagement Records

Target Audience

Target Competencies

n/a

Day 1: Problems Solved by Data Analysts

  •  Questions about Student Data Solution
  •  Investigating the Data
  •  Problems in the Data 
  •  Missing Engagement Records

Day 2: Debugging Data Analysis Code

  • Making Histograms
  • Predicting Based on Many Features
  • Improving Plots and Sharing Findings

Day 3: NumPy

  • One-Dimensional Data in NumPy
  • Two-Dimensional NumPy Arrays
  •  NumPy Arrays
  •  Vectorized Operations
  •  Multiplying by a Scalar
  • Standardizing Data

Day 4: Pandas

  • Pandas Series
  • Filling Missing Values
  •  Plotting in Pandas

Day 5: Statistics

  • Mean, Median and Mode
  • Standard Variation, Error mean
  • Calculating Correlation

 

$4475

Istanbul

Country: Turkey

Duration: One week

Date: 20–24 Oct 2025

Register

$3875

Doha

Country: Quatar

Duration: One week

Date: 01–05 Jun 2026

Register