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31 - DAB- Data Analytics & Business Intelligience

DAB 405 - Business Intelligence and Data Mining (BI & DM)

Code Start Date Duration Venue
DAB 405 25 September 2023 5 Days Istanbul Registration Form Link
DAB 405 20 November 2023 5 Days Istanbul Registration Form Link
DAB 405 11 December 2023 5 Days Istanbul Registration Form Link
Please contact us for fees


Course Description

Business intelligence (BI) is the ability of an organization to collect, maintain, and organize data. This produces large amounts of information that can help develop new opportunities. Identifying these opportunities, and implementing an effective strategy, can provide a competitive market advantage and long-term stability. The goal of modern business intelligence deployments is to support better business decision-making. Thus a BI system can be called a decision support system (DSS). In this course, participants will first, be learning how do we turn that data into information, knowledge, and extract patterns. Second, they will learn the process of using Python libraries to explore techniques, and approaches which includes data mining, data science, AI, ML, DL, data visualization that identify the sources of data, discern patterns, associations, clusters, and relationships in the data to turn data into meaningful information.

Course Objectives

  • Gain the knowledge and confidence to frame the right questions to exploit your data 
  • Become familiar with how you and your team can extract value from data using advanced analytics over traditional methods
  • Gain hands-on experience in applying advanced data science models to make confident, evidence-based decisions and elevate your capacity to provide solutions
  • Use cutting-edge methods to identify trends, explore hypotheses, challenge assumptions, and create a more nuanced data-driven understanding of your business
  • Master the use of Python libraries to get the job done

Who Should Attend?

  • Managers
  • Executives
  • Data Scientists
  • Data Analysts
  • Business Analysts
  • professionals working with data analytics or business intelligence
  • Anyone who needs to understand how to use data to make better decisions.

Course Details/Schedule

Day 1

  • Data mining theory & methodology
  • Translating business problems into data mining problems
  • BI & DM overview
  • Model prediction & assessment
  • BI case studies
  • Using Python as the main tool
  • Lab: Introduction with Python to Data Mining

Day 2

  • Data exploration and pattern discovery
  • Developing intuition about data
  • Market basket analysis & association rules
  • Clustering and segmentation
  • Case study on pattern recognition
  • Lab 2: Association Mining and Link Graph by Python 

Day 3

  • Predictive Modeling (1)
  • Classification and predictive modeling
  • Decision trees as classification tools
  • Using Python to build decision trees
  • Lab 3: Predictive Modeling (Decision Trees, Model Comparison )

Day 4

  • Predictive Modeling (2):
  • Regression Models (Linear & Logistic)
  • Using Python to build regression models
  • Lab 4: Predictive Modeling (Regression, Variable Selection, Missing Value, Transforming Variable) 

Day 5

  • Comprehensive assessment of the entire information
  • Real-life scenario Project implementation from scratch to completion