IT & Software
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Data Science Interview Handbook
Prepare for data science interviews with this comprehensive handbook covering common questions, concepts, and practical exercises.
Data Science Interview Preparation
Prepare for data science interviews by exploring common questions, case studies, and practical problem-solving techniques.
Data Science Masterclass for Beginners
This Free Online Course Includes: 3-4 Hours of Learning CPD Accreditation Final Assessment
Data Science Methodology
Explore the methodologies used in data science. Understand the steps of the data science process, from problem identification and data collection to analysis, modeling, and insights generation, ensuring a structured approach to solving business problems.
Data Science Project:10-in-1 Data Interview Projects showoff
Data Science, Machine Learning, Data Analysis, Technical Interview
Data Science Projects with Python
Work on practical data science projects using Python, covering various domains and techniques for data analysis and visualization.
Data Science Projects with Python
Work on real-world data science projects using Python to enhance your portfolio and skills.
Data Science Projects with Python
Explore practical data science projects using Python, focusing on end-to-end project implementation, data analysis, and visualization techniques.
Data Science Statistics for Absolute Beginners
Data science
Data Science Tools
Get hands-on with the essential tools of data science. Learn how to work with Python, R, SQL, and key data science libraries to analyze and manipulate data, and create powerful models and visualizations to drive business decisions.
Data Science with Python: Distributions and Aggregations in Data
Mastering distributions and aggregations is essential for effective exploration, summarization, and analysis of datasets. This course will teach you how to analyze distributions and implement advanced data summarization techniques.
Data Science with Python: Enhancing Model Accuracy and Robustness
Simply creating a machine learning model is not enough to gain the best insights on the data. This course will teach you how to enhance a model through hyper-parameter tuning and other methods.