This Data Science training course is complemented by a variety of hands-on exercises to help the attendees reinforce their theoretical knowledge of the material being studied.
TOPICS
Applied data science, business analytics, and data engineering
Common data science/machine learning algorithms for supervised and unsupervised machine learning
NumPy, pandas, matplotlib, seaborn, scikit-learn
Python REPLs
Jupyter notebooks
Data analytics life-cycle phases
Data repairing and normalizing
Data aggregation and grouping
Data visualization and EDA
Operational data analytics
Distributed and scalable data processing
Cloud machine learning and data engineering capabilities
Participants should have a working knowledge of Python (or have the programming background and/or the ability to quickly pick up Python’s syntax), and be familiar with core statistical concepts (variance, correlation, etc.)
:*Course cost listed does not include the cost of courseware or exam. Please contact us at learn@vtec.org or 207-775-0244 for additional pricing information, or if you have any questions. Course is subject to minimum enrollment. This course may run as a live distance learning class if minimum enrollment is not met. Required: