Description

Python is a general-purpose programming language that is widely used in data science. It is known for its simplicity, readability, and versatility. In this Python, JavaScript, and Microsoft SQL for Data science course, you will learn the basics of Python, including variables, data types, operators, conditional statements, control flow statements, functions and error handling. You will also learn how to use Python for data science tasks such as cleaning, analysis and visualization.

JavaScript is a scripting language. It is primarily used for front-end web development. However, it also can be used for data science tasks such as data visualization and data analysis.

In this course, you will learn the basics of JavaScript, including variables, data types, operators, conditional statements, control flow statements, functions, and error handling. You will also learn how to use JavaScript for data science tasks such as data cleaning and data visualization.

Microsoft SQL is a relational database management system (RDBMS) that stores, manages, and retrieves data. It is one of the most popular RDBMSs in the world.

In this course, you will learn the basics of Microsoft SQL, including SQL statements, data manipulation statements, data query statements, and data definition statements. You will also learn to use Microsoft SQL to create, read, update, and delete data from a database.

Learning outcome

Understand the foundational principles of JavaScript, Python, and Microsoft SQL.
Develop proficiency in Python's Object Oriented Programming and its applications.
Craft and execute advanced MS SQL queries and commands.
Write JavaScript code to create and manipulate web pages
Use Python for data science tasks such as data cleaning, analysis, and visualization
Query and manage data using Microsoft SQL
Develop and design data science solutions

Why should I take this course?

Comprehensive coverage of three primary data science languages.
Tailored curriculum to ensure step-by-step progression.
Future-proof your skills in an ever-evolving tech landscape.
Position yourself as a versatile coder in the job market.
Transform raw data into insightful conclusions effectively.

Career Path

Data Scientist
Data Analyst
Machine Learning Engineer
Business Intelligence Analyst
Software Engineer
Web Developer

Requirements

No prior programming experience is required
Access to a computer with an internet connection
A willingness to learn and practice

Course Images

Learn Python, JavaScript, and Microsoft SQL for Data science

By Skill Up

Booking options

Highlights

Description

Learning outcome

Why should I take this course?

Career Path

Requirements

About The Provider

Tags

Reviews