Computer Programming for Data Science: R, Python & SQL (40-in-1 Bundle)
40-in-1 Career Mega Bundle! Blended Learning Solutions || Quick || Easy || Affordable Training
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- Exam(s) / assessment(s) is included in price
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Overview
[Updated 2024 (CPD QS)]
✦✦✦ 40 in 1 in Computer Programming Bundle Course! ✦✦✦
Unlock the treasure trove of data science with the keys of R, Python, and SQL. Begin your quest in the realm of numbers and narratives, where every dataset tells a story and every analysis opens a door to new insights.
Harness the power of R, Python, and SQL in our comprehensive Computer Programming for Data Science course. This program is meticulously designed to provide you with the tools to manage, analyze, and visualize data effectively. Learn to navigate through data manipulation, statistical analysis, and predictive modeling to uncover hidden patterns and make informed decisions. Whether you're a beginner aiming to enter the field of data science or looking to deepen your existing knowledge, this course will equip you with critical data handling skills.
Enroll now and start your journey towards becoming a data science professional.
Learning OutcomesAfter completing this course, you will be able to:
- Manipulate and analyze data using R.
- Develop and execute Python scripts for automated data analysis.
- Utilize SQL for efficient database management and complex queries.
- Create compelling data visualizations to interpret and present data effectively.
- Employ data science techniques to solve real-world problems.
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Description
Embark on a journey to master the essentials of data science with our focused training in R, Python, and SQL. This course blends theoretical knowledge with real-world applications, providing a solid foundation in data analysis, visualization, and database management.
You'll learn to craft robust data-driven solutions, handle large datasets, and turn complex data into actionable insights. Prepare yourself for a career that values precision and creativity in equal measure, and become an indispensable asset in the data-driven economy.
The intensive Computer Programming for Data Science bundle consists of the following courses in the package:
- Course 01: R Programming for Data Science
- Course 02: Data Science & Machine Learning with R
- Course 03: Quick Data Science Approach from Scratch
- Course 04: Secure Programming of Web Applications
- Course 05: Build WebXR, VR and AR, experiences using Three.JS
- Course 06: Complete AutoLISP Programming
- Course 07: JavaScript Functions
- Course 08: Master JavaScript with Data Visualization
- Course 09: jQuery: JavaScript and AJAX Coding Bible
- Course 10: C# Programming – Beginner to Advanced
- Course 11: AutoCAD Programming using C# with Windows Forms
- Course 12: AutoCAD Programming using VB.NET with Windows Forms
- Course 13: AutoCAD to Excel – VBA Programming Hands-On!
- Course 14: AutoCAD VBA Programming – Beginner course
- Course 15: Cyber Security Incident Handling and Incident Response
- Course 16: Kotlin Programming : Android Coding
- Course 17: SQL Programming Masterclass
- Course 18: SQL Server for Beginners
- Course 19: SQL NoSQL Big Data and Hadoop
- Course 20: Microsoft SQL Server Development for Everyone
- Course 21: Computer Networks Security
- Course 22: IT Asset Department
- Course 23: IT Support Technician Training
- Course 24: Admin Support Assistant
- Course 25: Computer Vision: C++ and OpenCV with GPU support
- Course 26: Functional Skills IT
- Course 27: CompTIA Healthcare IT Technician
- Course 28: Basic Google Data Studio
- Course 29: Data Analytics with Tableau
- Course 30: Recovering from a Job Loss in Technology
Take advantage of these 10 career-focused courses as well:
- Course 01: Career Development Plan Fundamentals
- Course 02: CV Writing and Job Searching
- Course 03: Interview Skills: Ace the Interview
- Course 04: Video Job Interview for Job Seekers
- Course 05: Create a Professional LinkedIn Profile
- Course 06: Business English Perfection Course
- Course 07: Networking Skills for Personal Success
- Course 08: Boost Your Confidence and Self-Esteem
- Course 09: Public Speaking Training
- Course 10: Learn to Fight Procrastination
Assessment Process
We provide an automated assessment system to make the evaluation and accreditation process easy for learners. After finishing an online program, you will get quick access to a specially designed MCQ test/ Assignment. The outcomes will be assessed right away, and the score will be shown for your review. The passing score on each test will be 60%.
Certificate of Completion
- 1 Hardcopy Certificate for the R Programming for Data Science Course in the Bundle is Free. For the remaining hardcopies, you will have to pay £9.99 each.
Who is this course for?
- Aspiring data scientists eager to acquire foundational programming skills.
- Analysts who want to enhance their data manipulation and analysis capabilities.
- Professionals in finance, healthcare, or marketing needing data proficiency.
- Students and researchers in fields requiring extensive data analysis.
- Technologists seeking to transition into data-centric roles.
Requirements
All you need is a smart device, a reliable internet connection, and a basic command of English and you're good to go!
Career path
- Data Scientist (£35,000 - £70,000)
- Data Analyst (£27,000 - £45,000)
- Database Administrator (£30,000 - £60,000)
- Business Intelligence Analyst (£29,000 - £55,000)
- Machine Learning Engineer (£40,000 - £80,000)
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This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.
