Advanced Data Analysis Techniques

Course Info

Length: 1 Week

Type: In Classroom

Available Dates

Venue

  • Apr-01-2024

    Dubai

  • Apr-01-2024

    Barcelona

  • Apr-08-2024

    Amsterdam

  • Apr-08-2024

    London

  • Apr-15-2024

    Kuala Lumpur

  • Apr-15-2024

    Istanbul

  • Apr-22-2024

    Dubai

  • Apr-22-2024

    Paris

  • Apr-29-2024

    Barcelona

  • Apr-29-2024

    Singapore

  • May-06-2024

    London

  • May-06-2024

    Barcelona

  • May-06-2024

    Dubai

  • May-13-2024

    London

  • May-13-2024

    Amsterdam

  • May-20-2024

    Kuala Lumpur

  • May-20-2024

    Istanbul

  • May-27-2024

    Singapore

  • May-27-2024

    Paris

  • June-03-2024

    Barcelona

  • June-03-2024

    Dubai

  • June-10-2024

    London

  • June-10-2024

    Amsterdam

  • June-17-2024

    Istanbul

  • June-17-2024

    Kuala Lumpur

  • June-24-2024

    Paris

  • June-24-2024

    Singapore

  • July-01-2024

    Barcelona

  • July-01-2024

    Dubai

  • July-08-2024

    London

  • July-08-2024

    Amsterdam

  • July-15-2024

    Kuala Lumpur

  • July-15-2024

    Istanbul

  • July-22-2024

    Dubai

  • July-22-2024

    Paris

  • July-29-2024

    Singapore

  • July-29-2024

    Barcelona

  • Aug-05-2024

    Dubai

  • Aug-05-2024

    Barcelona

  • Aug-12-2024

    Amsterdam

  • Aug-12-2024

    London

  • Aug-19-2024

    Istanbul

  • Aug-19-2024

    Kuala Lumpur

  • Aug-26-2024

    Paris

  • Aug-26-2024

    Singapore

  • Sep-02-2024

    Barcelona

  • Sep-02-2024

    Dubai

  • Sep-09-2024

    London

  • Sep-09-2024

    Amsterdam

  • Sep-16-2024

    Kuala Lumpur

  • Sep-16-2024

    Istanbul

  • Sep-23-2024

    Paris

  • Sep-23-2024

    Dubai

  • Sep-30-2024

    Barcelona

  • Sep-30-2024

    Singapore

  • Oct-07-2024

    Dubai

  • Oct-07-2024

    Barcelona

  • Oct-14-2024

    London

  • Oct-14-2024

    Amsterdam

  • Oct-21-2024

    Kuala Lumpur

  • Oct-21-2024

    Istanbul

  • Oct-28-2024

    Singapore

  • Oct-28-2024

    Paris

  • Nov-04-2024

    Barcelona

  • Nov-04-2024

    Dubai

  • Nov-11-2024

    Amsterdam

  • Nov-11-2024

    London

  • Nov-18-2024

    Istanbul

  • Nov-18-2024

    Kuala Lumpur

  • Nov-25-2024

    Singapore

  • Nov-25-2024

    Paris

  • Dec-02-2024

    Barcelona

  • Dec-02-2024

    Dubai

  • Dec-09-2024

    London

  • Dec-09-2024

    Amsterdam

  • Dec-16-2024

    Kuala Lumpur

  • Dec-16-2024

    Istanbul

  • Dec-23-2024

    Dubai

  • Dec-23-2024

    Paris

  • Dec-30-2024

    Singapore

  • Dec-30-2024

    Barcelona

Course Details

Course Outline

5 days course

Exploratory Data Analysis

  • Introduction to exploratory data analysis (EDA)
  • Techniques for data visualization and exploration
  • Measures of central tendency, dispersion, and correlation
  • Outlier detection and treatment
  • Hands-on exercises using Python libraries such as Pandas, Matplotlib, and Seaborn

 

Machine Learning for Data Analysis

  • Introduction to machine learning (ML) algorithms
  • Supervised learning: regression, classification, decision trees, random forests
  • Unsupervised learning: clustering, dimensionality reduction
  • Cross-validation and hyperparameter tuning
  • Hands-on exercises using Python libraries such as Scikit-learn and Keras

 

Time Series Analysis

  • Introduction to time series data
  • Time series decomposition and trend analysis
  • Seasonality and periodicity analysis
  • Autoregressive Integrated Moving Average (ARIMA) models
  • Hands-on exercises using Python libraries such as Statsmodels

 

Bayesian Data Analysis

  • Introduction to Bayesian statistics
  • Bayes' theorem and probability distributions
  • Bayesian modeling and inference
  • Markov Chain Monte Carlo (MCMC) methods
  • Hands-on exercises using Python libraries such as PyMC3 and Stan

 

Big Data Analytics

  • Introduction to big data and distributed computing
  • MapReduce and Hadoop ecosystem
  • Apache Spark and Spark SQL
  • Machine learning on big data: Spark MLlib
  • Hands-on exercises using tools such as Hadoop, Spark, and Databricks

Course Video