Python for Data Science and AI

Available Dates

Dec-09-2024

Amsterdam
Jan-06-2025

Amsterdam
Feb-03-2025

Amsterdam
Mar-03-2025

Amsterdam
Apr-07-2025

Amsterdam
May-05-2025

Amsterdam
June-02-2025

Amsterdam
June-30-2025

Amsterdam
July-07-2025

Amsterdam
Aug-04-2025

Amsterdam
Sep-01-2025

Amsterdam
Sep-29-2025

Amsterdam
Oct-06-2025

Amsterdam
Nov-03-2025

Amsterdam
Dec-01-2025

Amsterdam
Dec-29-2025

Amsterdam

Dates in Other Venues

Nov-25-2024

Paris
Nov-25-2024

Singapore
Dec-02-2024

Dubai
Dec-02-2024

Barcelona
Dec-09-2024

London
Dec-16-2024

Istanbul
Dec-16-2024

Kuala Lumpur
Dec-23-2024

Singapore
Dec-23-2024

Barcelona
Dec-30-2024

Paris
Dec-30-2024

Dubai
Jan-06-2025

London
Jan-13-2025

Barcelona
Jan-13-2025

Dubai
Jan-20-2025

Istanbul
Jan-20-2025

Kuala Lumpur
Jan-27-2025

Singapore
Jan-27-2025

Paris
Feb-03-2025

London
Feb-10-2025

Dubai
Feb-10-2025

Barcelona
Feb-17-2025

Kuala Lumpur
Feb-17-2025

Istanbul
Feb-24-2025

Singapore
Feb-24-2025

Paris
Mar-03-2025

London
Mar-10-2025

Dubai
Mar-10-2025

Barcelona
Mar-17-2025

Kuala Lumpur
Mar-17-2025

Istanbul
Mar-24-2025

Paris
Mar-24-2025

Singapore
Apr-07-2025

London
Apr-14-2025

Barcelona
Apr-14-2025

Dubai
Apr-21-2025

Istanbul
Apr-21-2025

Kuala Lumpur
Apr-28-2025

Singapore
Apr-28-2025

Paris
May-05-2025

London
May-12-2025

Dubai
May-12-2025

Barcelona
May-19-2025

Istanbul
May-19-2025

Kuala Lumpur
May-26-2025

Paris
May-26-2025

Singapore
June-02-2025

London
June-09-2025

Dubai
June-09-2025

Barcelona
June-16-2025

Kuala Lumpur
June-16-2025

Istanbul
June-23-2025

Singapore
June-30-2025

London
June-30-2025

Paris
July-07-2025

London
July-14-2025

Dubai
July-14-2025

Barcelona
July-21-2025

Kuala Lumpur
July-21-2025

Istanbul
July-28-2025

Paris
July-28-2025

Singapore
Aug-04-2025

London
Aug-11-2025

Dubai
Aug-11-2025

Barcelona
Aug-18-2025

Kuala Lumpur
Aug-18-2025

Istanbul
Aug-25-2025

Singapore
Aug-25-2025

Paris
Sep-01-2025

London
Sep-08-2025

Dubai
Sep-08-2025

Barcelona
Sep-15-2025

Paris
Sep-15-2025

Singapore
Sep-22-2025

Istanbul
Sep-22-2025

Kuala Lumpur
Sep-29-2025

London
Oct-06-2025

London
Oct-13-2025

Barcelona
Oct-13-2025

Dubai
Oct-20-2025

Kuala Lumpur
Oct-20-2025

Istanbul
Oct-27-2025

Paris
Oct-27-2025

Singapore
Nov-03-2025

London
Nov-10-2025

Dubai
Nov-10-2025

Barcelona
Nov-17-2025

Kuala Lumpur
Nov-17-2025

Istanbul
Nov-24-2025

Singapore
Nov-24-2025

Paris
Dec-01-2025

London
Dec-08-2025

Dubai
Dec-08-2025

Barcelona
Dec-15-2025

Kuala Lumpur
Dec-15-2025

Istanbul
Dec-29-2025

Singapore
Dec-29-2025

London
Dec-29-2025

Paris

Course Details

This 5-day intensive course is designed to equip participants with the necessary skills in Python programming, essential for excelling in the fields of Data Science and Artificial Intelligence. It covers everything from Python basics to advanced topics in machine learning and deep learning. This course is perfect for those aiming to enhance their skills in Data analysis, Data Science, Machine learning, or AI using Python.

By the end of this course, participants will have hands-on experience in Python programming for data science and AI applications, with a strong foundation in machine learning, deep learning, and NLP.

This course is ideal for beginners interested in pursuing a career in data science and for professionals who want to gain a solid understanding of data science and its applications in their field.

Master Python programming fundamentals, focusing on data structures and object-oriented programming.
Learn Exploratory Data Analysis (EDA) using popular Python libraries like Matplotlib and Seaborn, and understand data preprocessing with Pandas.
Gain a solid understanding of various machine learning algorithms, including boosting methods like Gradient Boosting and XGBoost.
Dive into deep learning concepts, exploring neural networks and architectures like ANN, CNN, RNN, and LSTM.
Explore Natural Language Processing (NLP) and understand the usage of libraries like NLTK and Spacy, including practical applications like sentiment analysis and chatbot creation.

Data analysts and aspiring data scientists interested in mastering Python for data science and AI.
Professionals in various fields seeking to integrate Python-based data analysis and machine learning into their work.
Students and individuals keen on building a career in AI and data science.

Our courses in Amsterdam are held at the LPC office located at:

Herengracht 124-128, 1015 BT Amsterdam, Netherlands

Once you register, we will subsequently send you the course details, including the location, trainer, and other logistical information.

Pay Attention, Please! The course location at our offices is subject to availability. Should our office be unavailable, we will secure an alternative nearby venue and promptly inform you of the change. The exact time and location will be confirmed one week prior to the course commencement.

Course Outline

5 days course

Day 1

Day 2

Day 3

Day 4

Day 5

Complete Python Basics and Hands-on exercises.
oops concepts in python
Exploring Python data structures (lists, tuples, dictionaries, sets).
Practicals on classes and objects in Python.

Comprehensive exploration of EDA using Matplotlib and Seaborn.
Understanding and handling data issues: imbalance, skewness, correlation, outliers, null values etc
Univariate and bivariate analysis techniques.
Data preprocessing and manipulation using Pandas.
Practical exercises to find insights from EDA and Pandas.

Machine Learning with Python
Introduction to machine learning concepts: supervised, unsupervised learning, classification, regression.
Hands-on with various ML algorithms: Linear Regression, Logistic Regression, KNN, SVM.
Exploring Boosting algorithms: Gradient Boosting, XGBoost.
Real-time machine learning project implementation.

Deep Learning Fundamentals
Basics of neural networks and their architectures.
Detailed exploration of ANN, CNN, RNN, LSTM.
Practical session on a real-time deep learning project.
Introduction to frameworks like TensorFlow and Keras,pytorch.

Natural Language Processing and Generative AI
Introduction to NLP and its applications.
Working with NLP libraries: NLTK, Spacy, OCR tools.
Projects on sentiment analysis and topic modeling.
Introduction to Generative AI concepts.
Building a domain-specific chatbot using the ChatGPT API.

Python for Data Science and AI

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Python for Data Science and AI

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