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 Istanbul take place at the following locations :
Once you register for this course, we will subsequently send the invoice and course information, including location, trainer, and other logistics.
Pay Attention, Please! The course location is subject to availability; the course time will be precise one week before the course start date! We may change the course location if there is no availability, and we will let you know about the location change once it happens.