This training is for professional development purposes. The certificate obtained does not replace the MYK authorization certificate required for trainings that mandate MYK authorization.

Training Information

The Python for Data Science Training Program provides participants with in-depth knowledge of data analysis, machine learning, data visualization, and modeling using Python. The course includes hands-on exercises on real-world datasets to develop practical data science skills.

Training Content

• Introduction and Basic Python Knowledge
• Introduction to Python: Basics, data structures, syntax
• Python Libraries: NumPy, Pandas, Matplotlib, Seaborn, SciPy
• Data Structures: Lists, dictionaries, sets, tuples
• Data Analysis and Manipulation
• Data manipulation with Pandas: DataFrame, Series, reading, writing, editing
• Data Cleaning: Missing data, incorrect data, data type checks
• Data Transformation and Processing: Filtering, grouping, pivot tables
• Data Visualization: Graphs using Matplotlib and Seaborn
• Statistical Analysis and Modeling
• Basic Statistics: Mean, median, variance, standard deviation, correlation
• Statistical Tests: t-test, chi-square test, ANOVA, regression
• Fundamentals of Machine Learning: Supervised and unsupervised learning
• Machine Learning Algorithms
• Regression Models: Linear, logistic, polynomial regression
• Classification Algorithms: Decision trees, random forests, KNN, SVM
• Clustering Algorithms: K-means, hierarchical, DBSCAN
• Model Evaluation: Accuracy, error rate, F1 score, ROC-AUC
• Data Mining and Deep Learning
• Data Mining: Pattern recognition, classification, data mining applications
• Deep Learning Fundamentals: Artificial neural networks, backpropagation, TensorFlow and Keras
• Projects and Hands-on Exercises
• Applying all techniques on real-world projects
• Data science applications: Health, finance, e-commerce, social media

Skills Acquired

• Develop data analysis and machine learning projects using Python
• Skills in data cleaning, processing, and visualization
• Apply and evaluate machine learning algorithms
• Create deep learning and AI applications
• Experience developing projects with real-world datasets

Certificates and Career Opportunities

• Participants will receive a certificate demonstrating proficiency in Python for Data Science
• Career opportunities in data science, machine learning, and AI fields

The training is open for corporate cooperation (institution/company packages); individual applications are not accepted. The training content can be adjusted according to the participant profile and needs. After mutual discussions, the scope and method of the training (face-to-face, online) are determined and the processes are completed. Upon agreement, schedules, times, and training locations are coordinated with participants and instructors.