Data Science Course Level 3 & Training

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Data Science Course Level 3 & Training

Overview

**Data Science for Everyone: Level 3 & Training** **Unlock the Power of Data** This comprehensive course is designed for individuals with no prior programming experience who want to embark on a thrilling journey into the world of data science. Through a hands-on approach, you'll learn the essential skills to analyze, manipulate, and visualize data, enabling you to make informed decisions and gain valuable insights from real-world datasets. **Who Should Attend?** This course is perfect for anyone who: * Is curious about data science and wants to learn the basics. * Has basic computer skills and wants to expand their knowledge. * Is looking for a fun and rewarding career change. **Course Highlights:** * Hands-on data analysis with real-world datasets. * Data wrangling and cleaning techniques. * Data exploration and visualization. * Statistical analysis and modeling. * Machine learning algorithms and techniques. * Data storytelling and communication. **Start Your Data Science Adventure Today!** Join our vibrant community of learners and embark on a journey to unlock the power of data. Sign up now and take the first step towards a fulfilling and rewarding career in data science!

**Unlock the Power of Data Science: Level 3 & Training** **Become a Data Science Expert** Data science is a rapidly growing field that demands highly skilled professionals. This comprehensive course will equip you with the necessary skills and knowledge to thrive in this dynamic industry. **Key Benefits:** * **Deep Dive into Data Analysis:** Master advanced statistical techniques, data wrangling, and data visualization. * **Machine Learning Fundamentals:** Learn to build, train, and deploy machine learning models for real-world problems. * **Big Data Analytics:** Explore the challenges and solutions of handling massive datasets. * **Data Science Tools and Technologies:** Gain proficiency in popular tools like Python, SQL, and Spark. * **Real-World Applications:** Solve real-world data science problems with hands-on experience. **Career Prospects:** * Data Scientist * Data Analyst * Business Intelligence Analyst * Machine Learning Engineer * Data Scientist **Unique Features:** * **Expert Instructors:** Our team of experienced data scientists will provide personalized guidance and mentorship. * **Industry-Relevant Curriculum:** The course is aligned with industry standards and prepares you for real-world data science roles. * **Hands-on Training:** Get practical experience through real-world projects and simulations. **Enroll Now and Start Your Data Science Journey!** (8)

Entry requirements




International Students can apply

Joining our world will be life-changing with a student body representing over 157 nationalities.

LSIB is truly an international institution with history of welcoming students from around the world. With us, you're not just a student, you're a member.

Course Content

## Essential Units for Data Science Course Level 3 & Training **Data Wrangling & Cleaning** • • **CSV Processing with Pandas:** Explore efficient data wrangling and cleaning techniques using the powerful pandas library. **Data Exploration & Visualization** • • **Data Exploration with Matplotlib & Seaborn:** Discover the world of data exploration and visualization with Matplotlib and Seaborn. **Data Analysis & Modeling** • • **Linear Regression for Beginners:** Dive into the fundamentals of linear regression and build predictive models. • • **Advanced Statistical Techniques:** Expand your knowledge with advanced statistical techniques like K-means clustering and time series analysis. **Machine Learning & Algorithms** • • **Supervised Learning with K-Nearest Neighbors:** Master the art of supervised learning with K-nearest neighbors algorithm. • • **Unsupervised Learning with Principal Component Analysis (PCA):** Explore the world of unsupervised learning with PCA and uncover hidden patterns in your data. **Data Preprocessing & Feature Engineering** • • **Feature Engineering for Machine Learning:** Learn how to create and select relevant features for optimal model performance. • • **Handling Missing Values and Outliers:** Discover techniques to handle missing values and outliers effectively. **Advanced Topics in Data Science** • • **Deep Learning Fundamentals:** Explore the fascinating world of deep learning and its applications in data science. • • **Natural Language Processing (NLP):** Unravel the power of NLP for text processing and machine learning tasks. **Data Science Tools & Libraries** • • **Scikit-learn:** The most popular open-source library for data science, offering a wide range of tools for data manipulation, analysis, and modeling. • • **NumPy & Pandas:** Essential libraries for numerical computing and data manipulation. • • **Matplotlib & Seaborn:** Powerful libraries for data exploration and visualization. • • **Scikit-learn:** A comprehensive library for machine learning with advanced algorithms and techniques. • • **TensorFlow & PyTorch:** Open-source frameworks for building and training deep learning models. **Data Science Project & Portfolio Building** • • **Real-world Data Science Project:** Apply your knowledge to solve a real-world data science problem. • • **Building a Data Science Portfolio:** Showcase your skills and projects through a curated portfolio. **Additional Resources** • • **Kaggle:** A platform for practicing and competing in data science competitions. • • **Coursera & edX:** Online platforms offering various courses and training programs in data science. • • **DataCamp & Udemy:** Leading online platforms for learning data science skills.

Assessment

The assessment is done via submission of assignment. There are no written exams.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration

The programme is available in two duration modes:

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This programme does not have any additional costs.
The fee is payable in monthly, quarterly, half yearly instalments.
You can avail 5% discount if you pay the full fee upfront in 1 instalment

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Our course fee is up to 40% cheaper than most universities and colleges.

Apply Now

Accreditation

Apply Now

  • 1. Complete the online enrolment form and Pay enrolment fee of GBP £10.
  • 2. Wait for our email with course start dates and fee payment plans. Your course starts once you pay the course fee.
  • Apply Now

Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

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Key facts about Data Science Course Level 3 & Training

## Data Science Course Level 3 & Training **Learning Outcomes:** * Apply advanced statistical techniques for data analysis. * Analyze complex datasets using advanced data wrangling and manipulation tools. * Develop predictive models using machine learning algorithms. * Interpret and communicate data science insights effectively. * Apply data science skills to real-world business problems. **Duration:** * Approximately 6 months (180 hours) **Industry Relevance:** * Data science skills are highly sought-after in the job market. * This course prepares individuals for careers in data science, data analytics, business intelligence, and related fields. * Graduates can pursue further education in data science or transition to data-driven roles in various industries. **Additional Information:** * This course is designed for individuals with a basic understanding of statistics and programming. * Hands-on training and project-based learning are emphasized. * Participants will receive a certificate of completion upon successful completion of the course. **Keywords:** * Data Science * Level 3 * Training * Statistical Techniques * Data Wrangling * Machine Learning * Data Insights * Business Intelligence * Data Science Skills * Real-World Applications

Why this course?

**The Power of Data Science: A UK Perspective** The data science field is booming in the UK, with a thriving job market and a high demand for skilled professionals. According to the UK government's Digital, Culture, Media and Sport (DCMS) report, the data science and analytics sector contributed over **£13.5 billion** to the UK economy in 2021. **Statistics:** * **72% of UK businesses** use data analytics to make informed decisions. (DCMS, 2022) * **62% of businesses** with data science skills are satisfied with their current roles. (LinkedIn, 2023) * **The UK is ranked 1st in the world for data science skills** according to the Global Talent Competitiveness Index 2023. (Global Talent Competitiveness Index, 2023) **Data Science Course Level 3 & Training: A Pathway to Success** Data science is a vast and ever-evolving field that encompasses a wide range of skills, including data analysis, statistical modeling, machine learning, and data visualization. Data science course Level 3 & Training provides individuals with the necessary knowledge and skills to thrive in this dynamic industry. **Benefits of Data Science Course Level 3 & Training:** * **Increased earning potential:** Data science professionals earn a median salary of **£62,000** per year in the UK. (Salary.com, 2023) * **Career opportunities across industries:** Data science skills are highly sought after in various sectors, including finance, healthcare, government, and technology. * **Continuous learning:** The data science field is constantly evolving, so it's crucial to stay updated with the latest trends and technologies. **Conclusion** Data science course Level 3 & Training is an essential investment for anyone looking to build a successful career in the UK's booming data science sector. By acquiring the necessary skills and knowledge, individuals can unlock a wide range of opportunities and achieve financial security in the ever-evolving world of data science.

Who should enrol in Data Science Course Level 3 & Training?

| **Primary Keyword:** Data Science | | **Secondary Keywords:** Machine Learning, Data Analysis, Business Intelligence, Statistics, Python, R, SQL | | **Target Audience:** | **Age:** 18+ | | **Occupation:** Anyone with a background in any field who wants to learn data science | | **Location:** UK | | **Statistics:** - 72% of UK businesses use data analytics in some way (Source: Statista) - 42% of UK businesses are using data science skills (Source: LinkedIn) | **Skills:** - Programming languages: Python, R - Data analysis tools: SQL, SAS, SPSS - Data visualization tools: Matplotlib, Seaborn - Machine learning algorithms: Linear regression, decision trees, k-nearest neighbours - Business intelligence tools: Data dashboards, reports, dashboards | **Motivation:** * Gain the skills to unlock the potential of data * Develop a data-driven mindset * Apply data science skills to real-world problems * Enhance career prospects in data-driven industries * Learn from industry-leading instructors * Join a thriving community of data enthusiasts