Data Science for Beginners - Python for Data Science

Data science is the domain of study that is a blend of Mathematics, Analytics, Algorithms, and Machine learning techniques. It deals with vast volumes of data using various tools and techniques to find unseen patterns, derives meaningful information, and make business decisions. Data science uses complex machine learning algorithms to build predictive models.

So, learn like a pro by understanding the concepts of big data, machine learning, BI, and model processing in data science. This full course on Data Science from Great Learning is ideal for both beginners and professionals who want to upskill in one of the highly trending domains of the industry. It covers topics as fundamental as statistics and data to Logistic and Linear Regression.

• Introduction - .
• Statistics vs Machine Learning - .
• Types of Statistics - .
• Types of Data - .
• Correlation - .
• Covariance - .
• Basics of Python - .
• Python Data Structures - .
• Flow Control Statements in Python - .
• Numpy - .
• Pandas - .
• Matplolib - .
• Linear Regression - .
• Logistic Regression - .