Data Science With Python PLUS Deep Learning & PostgreSQL
This data science course provides participants with the knowledge, skills, and experience associated with Data Science. Students will explore
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What you'll learn
- Data Science and Its Types
- Top 10 Jobs in Data Science
- Tools of Data Science
- Variables and Data in Python
- Introduction to Python
- Probability and Statistics
- Functions in Python
- Operator in Python
- DataFrame with Excel
- Dictionaries in Python
- Tuples and loops
- Conditional Statement in Python
- Sequences in Python
- Iterations in Python
- Multiple Regression in Python
- Linear Regression
- Libraries in Python
- Numpy and SK Learn
- Pandas in Python
- K-Means Clustering
- Clustering of Data
- Data Visualization with Matplotlib
- Data Preprocessing in Python
- Mathematics in Python
- Data Visualization with Plotly
- What is Deep Learning?
- Deep Learning
- Neural Network
- Tensor Flow
- PostgreSQL
- Machine Learning and Data Science
- Machine Learning Models
- Data Science Projects: Real World Problems
Get instant access to a workbook on Data Science, follow along, and keep for reference
Introduce yourself to our community of students in this course and tell us your goals with data science
Encouragement and celebration of your progress every step of the way: 25% > 50% > 75% & 100%
30 hours of clear and concise step-by-step instructions, lessons, and engagement
This data science course provides participants with the knowledge, skills, and experience associated with Data Science. Students will explore a range of data science tools, algorithms, Machine Learning, and statistical techniques, with the aim of discovering hidden insights and patterns from raw data in order to inform scientific business decision-making.