Personalized Python Data Analytics Tutorials
Budget: $30 – $250 USD
I'm seeking a knowledgeable Data Analytics freelancer with Python Knowledge to provide in-depth tutorials tailored to my learning needs as shown below. The ideal candidate should be able to explain complex concepts in a clear and understandable manner, and create engaging, hands-on exercises.
Only Freelancers that can work remotely are required.
Topics include:
Introduction to Data Analysis
- CRISP-DM reference model
- Data Analytics workflows
- Distinction between Artificial Intelligence, Machine Learning, and Deep Learning
- Roles and requirements of Data Engineers, Data Scientists, and Data Analysts in organizations
Review of Python Fundamentals
- Data types
- Functions
Data Analysis
- Key Python modules for Data Analytics (NumPy, Pandas)
- Data preparation process
- Data mining algorithms in Python
- Artificial Intelligence (AI) in the workplace
- Introduction to specific AI technologies and their applications in professional settings
Data Visualization
- Exploratory Data Analysis
- Insights
- Data quality
- Benefit analysis
- Visualization with Python: Matplotlib, Seaborn, Plotly Express
- Data Storytelling
Data Management
- Big Data architectures
- Relational databases with SQL
- Comparison of SQL and NoSQL databases
- Business Intelligence
- Data protection in the context of data analysis
Data Analysis in the Big Data Context
- MapReduce approach
- Spark
- NoSQL
Dashboards
- Library: Dash
- Building Dashboards – Dash Components
- Customizing Dashboards
- Callbacks
Text Mining
- Data Preprocessing
- Visualization
- Library: SpaCy
If you have a passion for teaching and a strong background in data analytics and Python, I would love to hear from you.
Only Freelancers that can work remotely are required.
Topics include:
Introduction to Data Analysis
- CRISP-DM reference model
- Data Analytics workflows
- Distinction between Artificial Intelligence, Machine Learning, and Deep Learning
- Roles and requirements of Data Engineers, Data Scientists, and Data Analysts in organizations
Review of Python Fundamentals
- Data types
- Functions
Data Analysis
- Key Python modules for Data Analytics (NumPy, Pandas)
- Data preparation process
- Data mining algorithms in Python
- Artificial Intelligence (AI) in the workplace
- Introduction to specific AI technologies and their applications in professional settings
Data Visualization
- Exploratory Data Analysis
- Insights
- Data quality
- Benefit analysis
- Visualization with Python: Matplotlib, Seaborn, Plotly Express
- Data Storytelling
Data Management
- Big Data architectures
- Relational databases with SQL
- Comparison of SQL and NoSQL databases
- Business Intelligence
- Data protection in the context of data analysis
Data Analysis in the Big Data Context
- MapReduce approach
- Spark
- NoSQL
Dashboards
- Library: Dash
- Building Dashboards – Dash Components
- Customizing Dashboards
- Callbacks
Text Mining
- Data Preprocessing
- Visualization
- Library: SpaCy
If you have a passion for teaching and a strong background in data analytics and Python, I would love to hear from you.