Python Key Skills:

1. Basic Syntax and Data Structures: Understanding Python syntax, variables, loops, and basic data types (strings, lists, tuples, dictionaries, sets).
2. APIs and JSON Handling: Experience working with APIs and handling data in JSON format.
3. Debugging: Familiarity with Python debugging tools such as pdb and writing error-free code through testing.
4. Basic Automation: Understanding of automating repetitive tasks with Python scripts.
5. Version Control: Basic knowledge of using Git for version control.

SQL Key Skills:

1. Querying Databases: Ability to write SQL queries to select, filter, group, and order data using SQL commands like SELECT, WHERE, GROUP BY, ORDER BY.
2. Joins and Relationships: Understanding of SQL joins (INNER, LEFT, RIGHT, FULL) to retrieve data from multiple tables.
3. Data Manipulation: Proficiency in using SQL commands for inserting, updating, and deleting records (INSERT, UPDATE, DELETE).
4. Database Design: Knowledge of database schema design, relationships (one-to-many, many-to-many), and normalization concepts.
5. Indexes and Optimization: Understanding of SQL indexing for performance optimization and query efficiency.
6. SQL Functions: Familiarity with using SQL built-in functions such as COUNT, AVG, SUM, MIN, MAX.
7. Subqueries and Nested Queries: Ability to write complex queries using subqueries.
8. Database Management Systems (DBMS): Experience with relational database management systems like MySQL, PostgreSQL, or SQLite.

General Technical Skills:

1. Data Analysis: Ability to analyze datasets and extract meaningful insights using Python and SQL.
2. Problem-Solving: Strong analytical skills to approach problems logically and come up with solutions.
3. Basic Algorithms: Familiarity with basic algorithms and problem-solving techniques, including sorting, searching, and recursion.
4. Working with IDEs: Experience using Integrated Development Environments (IDEs) like PyCharm, VSCode, or Jupyter for Python development.