DATA SCIENCE TRAINING

Data Science Training course forms an ideal package for aspiring data analysts aspiring to build a successful career in analytics/data science. Learn the basics of Excel, one of the most popular data analysis tools, to help visualize and gain insights from your data.  JK Michaels training is an ideal package for aspiring data analysts to gain expertise in data analytics.

Analyzing data is a valuable skill that can assist you in making better decisions. Microsoft Excel is a top data analysis tool, and the built-in pivot tables are arguably the most popular analytic tool.

Business may examine enormous amounts of large data—both organised and unstructured—to look for trends using data science. As a result, businesses are able to improve operations, control expenses, find fresh market niches, and strengthen their competitive edge.
Data science is needed when asking Alexa or Siri, or other personal assistants, for advice. Using a search engine that returns relevant results, driving a self-driving car, or chatting with a chatbot for customer care are all examples of tasks that can be automated. All of these data science uses are practical ones.
Data Science is an interdisciplinary field that uses mathematical algorithms and scientific inference to wring valuable insights from a large body of structured and unstructured data. Because they demand a lot of computation, these algorithms are really implemented by computer programmes that are often performed on exceptional hardware. Data science is an interdisciplinary field that combines computer science, statistical mathematics, machine learning, data analysis, and visualisation.
The most important component of data science is “Data” itself, as is clear from the name. There is no amount of computational calculation that can separate useful knowledge from irrelevant data. Image, text, video, and time-dependent data are only a few examples of the various types of information that are included in data science.

Effective data scientists can identify important questions, collect data from a variety of sources, sift the data, convert the results into solutions, and convey their findings in a way that strongly influences business decisions. Due to the fact that almost all industries require these skills, firms are increasingly realising the value of talented data scientists

Data scientists are now widely available in almost all businesses and have evolved over the last ten years into essential resources. These professionals are well-rounded, data-driven individuals with advanced technical abilities who are prepared to construct complicated quantitative algorithms to sort through and synthesise a large amount of data utilised to answer questions and inform strategy in their organisation. To deliver significant results to various partners throughout an organisation or business, this is matched with the experience in leadership and communication expected.

LEARNING OUTCOMES

• • • Use Excel tools and functions to clean and prepare data for analysis.

    • Use Named Ranges and Tables to automate your analysis.

    • Understand the different types of data in Excel and use appropriate functions to work with them.

    • Use logical and lookup functions to transform, link and categorise data.

      • data in life and society
      • ways to build your data literacy
      • data analysis methods
      • how to create tables and pivot tables in Excel
      • how to create data visualisations in Excel
      • the maths behind data analysis
      • how to apply basic inferential maths to your data sets.
      • JK Michaels institute also offers other products and courses, including  ACCREDITED MANAGEMENT CONSULTANT, CERTIFIED DATA SCIENTIST R LANGUAGE, CERTIFIED BUSINESS DATA ANALYTICS, BUSINESS DATA ANALYTICS PROFESSIONAL, and CERTIFIED DATA SCIENTIST (JK MICHAELS).