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IT and Software

Data Scientist Level 3 Advanced Diploma

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Course Line

Enroll in the Data Scientist Level 3 Advanced Diploma to propel your career in the dynamic field of data science. Whether you're a professional seeking specialization or a student eager to enter the field, this course equips you with the skills and knowledge essential for success in advanced data science roles. Join now to become a proficient and sought-after Data Scientist.

Data Scientist Level 3 Advanced Diploma Data Scientist
Original price was: £194.00.Current price is: £19.99.
Become a proficient Data Scientist with our comprehensive Level 3 Advanced Diploma programme. This advanced course covers key topics in data science, including advanced data analysis, machine learning, deep learning, big data, distributed computing, data visualization, storytelling, and culminates in a capstone project. Designed for those looking to advance their data science skills, this diploma provides a deep dive into the intricacies of data analysis, modeling, and visualization.

What Will You Learn?

  • Master advanced techniques in data analysis for extracting valuable insights.
  • Explore the realms of machine learning and deep learning for predictive modeling.
  • Understand big data concepts and learn to harness the power of distributed computing.
  • Develop skills in data visualization and storytelling for effective communication.
  • Dive into advanced topics in data science, including emerging trends and technologies.
  • Apply theoretical knowledge to real-world scenarios through a capstone project.

Who Should Take The Course?

  • Data analysts looking to transition into more advanced roles.
  • IT professionals aiming to specialize in data science and machine learning.
  • Students and researchers eager to deepen their understanding of data science.
  • Professionals seeking to stay updated on the latest trends and technologies in data science.

Requirements

  • Proficiency in basic data analysis and statistical concepts.
  • Familiarity with programming languages like Python or R.
  • Access to a computer with internet connectivity for course materials and projects.
  • Enthusiasm for exploring advanced topics in data science and machine learning.

Course Currilcum

    • Multivariate Regression Analysis 00:24:00
    • Analysis of Variance (ANOVA) 00:21:00
    • Principal Component Analysis (PCA) 00:25:00
    • Hypothesis Testing and Inference 00:28:00
    • Supervised and Unsupervised Learning 00:23:00
    • Neural Networks and Deep Learning 00:22:00
    • Model Evaluation and Hyperparameter Tuning 00:26:00
    • Natural Language Processing (NLP) 00:24:00
    • Hadoop and MapReduce 00:27:00
    • Apache Spark 00:28:00
    • Data Streaming and Processing 00:22:00
    • Cloud Computing for Big Data 00:25:00
    • Data Visualization Tools (e.g., Tableau, Power BI) 00:21:00
    • Information Design Principles 00:20:00
    • Storytelling with Data 00:26:00
    • Advanced AI and Machine Learning Applications 00:26:00
    • Ethics and Responsible AI 00:28:00
    • Emerging Technologies in Data Science 00:20:00
    • Define a data science project 00:25:00
    • Collect and analyze data. 00:22:00
    • Develop and present findings 00:26:00
    • Exam of Data Scientist Level 3 Advanced Diploma 00:50:00
    • Order Certificate 00:05:00
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