Data Science: Data Science & Machine Learning with R Complete Training - CPD Accredited

[Updated 2024]

In the heart of a bustling city, James, a financial analyst, found himself lost in a sea of raw numbers. Day in and day out, he juggled figures, attempting to derive meaningful insights. However, the breakthrough moment arrived when he transitioned from traditional methods to the transformative realm of Data Science. By harnessing the power of Data Analysis, James could swiftly convert raw data into actionable intelligence, sculpting the future of his organisation. Like the alchemists of old, he transmuted mere numbers into golden insights. But James' journey wasn't solely his; it's a narrative that echoes the evolution of countless professionals in the world of Data Science.

In today's ever-evolving digital landscape, Data Science is a pillar of innovation. Let's journey through some facts that spotlight its indispensability:

1. Data-Driven Decision Making: As per recent studies, companies that employ data-driven decision-making are 19 times more likely to be profitable than their counterparts.
2. Global Impact: Data Science's global market size is projected to reach $115 billion by 2023, showcasing its economic dominance.
3. Increasing Reliance on Data: It's estimated that by 2025, 463 exabytes of data will be generated daily worldwide. Harnessing this data is no less than striking oil in the modern era.
4. Crucial for Innovation: Over 67% of businesses consider Data Analysis essential for innovative growth.
5. Skill Demand: There's a predicted shortfall of 250,000 data professionals by 2024, emphasising the need for competent experts.

✿ 4 in 1 "Data Science" Bundle ✿

This Data Science Bundle Consists of the Following Courses:

1. Data Science & Machine Learning with R Complete Training
2. Data Science & Machine Learning with Python
3. Learn Python, JavaScript, and Microsoft SQL for Data science
4. Python Data Science Complete Guide

So, what transformative skills can you gain from our Data Science Training - CPD Accredited course bundle?

1. Foundations of Data Science: Grasp the fundamental concepts, methodologies, and tools used in the field.
2. Machine Learning Mastery: Learn to create intelligent systems that can make decisions without explicit programming.
3. R & Python Proficiency: Acquire skills in two of the most sought-after programming languages in Data Science, allowing for advanced Data Analysis.
4. Predictive Analysis: Predict future trends by analysing past data, a crucial tool for any business.
5. Statistical Modeling: Understand and deploy various statistical models to decipher complex data.

Why Opt for Our CPD Accredited Data Science Course Bundle?

• CPD Accreditation: Rest assured of quality, as our course adheres to the stringent standards set by CPD, offering you a competitive edge.
• Distinguished Facilitators: Benefit from the expertise of renowned industry leaders, sharing insights and cutting-edge knowledge.
• Advancement Potential: Propel your career trajectory by integrating the invaluable skills of Data Science and Data Analysis.
• Comprehensive Resource Trove: Obtain access to numerous resources meticulously curated to bolster your learning journey.
• Collaborative Learning: Engage with diverse learners, fostering mutual growth through shared experiences.
• Certification: At the culmination of your learning journey, flaunt a CPD-accredited certificate, a testament to your newfound prowess in Data Science.

Moreover, as a special gesture, we've included a gift course on Data Science & Machine Learning with Python, further enriching your knowledge bank. Join us, and let's script a future sculpted by data!

Enrol in the course to jumpstart your career aspirations.

In the field of computer science, the fundamental topics are algorithms and data structures. Since this course focuses on data science as its topic, the course will start with a basic understanding of python programming and data structures like NumPy. Therefore, no previous understanding won’t damage the learning curve. Upon completion of prior modules, the course will guide you through some other basic concepts. Such as CSV files and their usage in Data Science. After gaining introductory knowledge, the course will dive deep into the advanced topics (i. e, Regression). These topics are designed to assist you in mastering data science.

Course Curriculum of Data Science & Machine Learning with R Complete Training:

• Data Science and Machine Learning Course Intro
• Getting Started with R
• Data Types and Structures in R
• Intermediate R
• Data Manipulation in R
• Data Visualization in R
• Creating Reports with R Markdown
• Building Webapps with R Shiny
• Introduction to Machine Learning
• Starting A Career in Data Science

----------and 3 more Courses----------

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Our Learner's Top Reviews:

• Varsha Sivamohan - “It was a great experience. The course was jampacked with excellent information. And when I needed help, Skill-up helped me with technical problems instantly. Fast feedback.”

• Charlie Anderson- “The support team was FANTASTIC!!! Very quick to respond and even though I was nervous as I am not good at tests, they made me feel comfortable. I am very grateful for the support”

• Aarini Sinha - “Amazing workshop. Very informative for the freshers like me. Learned a lot of things about digital marketing. I'm really thankful”.

Over 100+ glowing reviews.

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Assessment

After completing all the modules of the course, your learning will be assessed by an assignment or multiple-choice based exam. You may choose to participate in a Mock Exam before attending the course completion Final Exam with no extra cost.

Please Note: There is no Assessment available with this Data Science course. Learners can order the Course Completion Certificate right after completing the Data Science.

• Struggling to understand college ML/AI topics.
• Has prior math and statistical knowledge and now wants to apply using programming skills.
• Individuals want to build their careers in data science.
• Individuals having programming experience and are passionate about data science.
• Individuals from any background are welcome too.

This particular course doesn’t expect any previous background knowledge. Anyone can take this course since you’ll be learning from scratch. However, math, statistics or programming prior knowledge would be helpful.

• Data Scientist
• Machine Learning Engineer
• Data Analyst
• Business Intelligence Analyst
• Research Scientist (AI/ML)
• Quantitative Analyst (Quant)

Currently there are no Q&As for this course. Be the first to ask a question.

Digital certificate

Digital certificate - £6.99

Hard copy certificate

Hard copy certificate - £9.99