Learn Python, JavaScript, and Microsoft SQL for Data science
Learn Python, JavaScript, and Microsoft SQL for Data science
- Interactive video lectures by industry experts
- Developed by qualified first aid professionals
- Instant e-certificate and hard copy dispatch by next working day
- Fully online, interactive course with audio voiceover
- Self paced learning and laptop, tablet, smartphone friendly
- 24/7 Learning Assistance
- Discounts on bulk purchases
Main Course Features:
- In-depth coverage of Python fundamentals for data analysis and machine learning
- Hands-on projects and exercises to reinforce Python programming skills
- Exploration of JavaScript libraries like D3.js for data visualization
- Implementation of interactive data visualizations using JavaScript
- Thorough understanding of Microsoft SQL for data storage and querying
- Writing SQL queries to retrieve and manipulate data in Microsoft SQL Server
- Real-world case studies and examples to demonstrate the integration of Python, JavaScript, and SQL in data science projects
- Access to a supportive online community for collaboration and assistance
Learning Outcomes
- Master Python programming for data analysis, machine learning, and data manipulation
- Develop interactive data visualizations using JavaScript libraries like D3.js
- Utilize Microsoft SQL for data storage, retrieval, and manipulation
- Write complex SQL queries to extract insights from relational databases
- Integrate Python, JavaScript, and SQL for end-to-end data science projects
- Build a portfolio of data science projects showcasing proficiency in Python, JavaScript, and SQL
- Debug and troubleshoot code effectively in Python, JavaScript, and SQL environments
- Stay updated with the latest trends and advancements in data science and technology.
- Keep accurate records and generate reports
Who Should Take This Course
- Aspiring data scientists seeking to build a strong foundation in essential technologies for data science
- Programmers and developers interested in expanding their skill set to include Python, JavaScript, and SQL for data analysis and visualization
- Students and professionals aiming to pursue a career in data science or related fields
Certification
Once you’ve successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post . All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.
Assessment
At the end of the course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven’t, there’s no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.
Course Curriculum
Introduction 
00:03:00 How to ask great questions 00:01:00 Installing Code Editor 00:04:00 What is JavaScript 00:09:00 Hello World Program 00:14:00 Getting Output 00:11:00 Internal JavaScript 00:13:00 External JavaScript 00:09:00 Inline JavaScript 00:04:00 Async and defer 00:06:00
Variables 00:13:00 Data Types 00:10:00 Numbers 00:06:00 Strings 00:06:00 String Formatting 00:05:00
Arithmetic operators 00:07:00 Assignment operators 00:03:00 Comparison operators 00:06:00 Logical operators 00:08:00
If-else statement 00:05:00 If-else-if statement 00:04:00
While loop 00:09:00 Do-while loop 00:02:00 For loop 00:08:00 Coding Exercise 00:02:00 Solution for Coding Exercise 00:02:00
Creating a Function 00:07:00 Function Call() 00:07:00 Function with parameters 00:05:00
Try-catch 00:05:00 Try-catch-finally 00:17:00
On Submit Validation 00:09:00 Input Numeric Validation
00:12:00 00:06:00
Introduction to Python 00:02:00 Python vs. Other Languages 00:04:00 Why Its Popular 00:04:00 Command Line Basics 00:07:00 Python Installation (Step By Step) 00:06:00 PyCharm IDE Installation 00:08:00 Getting Start PyCharm IDE 00:05:00 First Python Hello World Program 00:07:00
Variables 00:16:00 Data Types 00:13:00 Type Casting 00:07:00 User Inputs 00:08:00 Comments 00:04:00
Section Introduction 00:01:00 Group by – theory 00:03:00 Group by – practical 00:05:00 HAVING statement 00:04:00
Overview of Joins 00:02:00 What are Joins 00:02:00 Inner join 00:08:00 Left outer join 00:03:00 Right outer join 00:02:00 Full outer join 00:01:00 Union 00:03:00 Cartesian Product with the Cross Join 00:03:00 Query Exercise 00:01:00 Solution for Query Exercise 00:01:00
Section introduction 00:01:00 Check constraint 00:07:00 NOT NULL constraint 00:08:00 UNIQUE constraint 00:05:00
Creating Views 00:04:00 Reporting with multiple tables 00:03:00
Section Introduction 00:01:00 Timestamp 00:04:00 Extract from timestamp 00:03:00 Mathematical scalar functions 00:04:00 String functions 00:05:00 Sub Query v 00:03:00 SELECT with calculations 00:06:00
Create stored procedure 00:06:00 Stored procedure with parameter 00:03:00 Drop Procedure 00:01:00
Section Introduction 00:01:00 Import .csv or excel file 00:03:00 Export Data to Excel or any format 00:06:00
Section Introduction 00:01:00 Creating Database backup 00:04:00 Restoring Database backup 00:04:00
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