Data Analyst

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Description

Overview

Data analysis is the process of extracting information from data. It involves multiple stages including establishing a data set, preparing the data for processing, applying models, identifying key findings and creating reports. The goal of data analysis is to find actionable insights that can inform decision making. Data analysis can involve data mining, descriptive and predictive analysis, statistical analysis, business analytics and big data analytics. Now that you know the answer to ‘What is Data Analysis?’, choose your course and start analyzing data.

Data Analyst Levels

There are Three main levels of data analyst.

1- Entry Level:

Data analysts are highly valued for their ability to help companies make data-driven decisions by translating data into insights using SQL, Tableau, and more. Becoming a data analyst is an ideal way to launch and advance a data science career.

2- Medium Level:

Data scientists use probability, statistics, mathematics, and computer science to make predictions about complex systems. Gaining experience as a data analyst is excellent preparation for success as a data scientist.

3- Senior Level:

Data scientists advance their careers by gaining expertise in machine learning, predictive models, deep learning, and SAS, and move into leadership roles through developing management and communication skills.

Data Analysis Using Excel and Power BI

  • Combine Excel with Power BI
  • Getting broad data analytics
  • Creating Interactive Dashboard by transferring Excel Data to Power BI
  • Getting meaningful Data Visualizations

On Site Training

Our professional and experienced trainer can come to your premises and deliver this course. You may ask for a quotation for all tuition, course materials, exam fees, certificates, travel and accommodation. For further information about in-house training or group booking, please do not hesitate to contact either via telephone, email or by simply submitting Contact us form.

Why Choose Us?

Our aim is not just to get you the qualification but also guide you through all processes while you are applying for your SIA Licence. Following are some of the reasons why you should choose us as your training provider:

  • Excellent Success Rate!
  • Fully accredited and authorized training center in London!
  • Most competitive prices with NO HIDDEN COSTS!
  • Prices are all inclusive of tuition, handbook, notebook, exams and certificate costs!
  • Nationally recognized and Ofqual accredited training course!
  • Highly skilled and qualified trainers with a great wealth of practical knowledge & experience!
  • Post-qualification email support while you are preparing to book your licence application!
  • Free guidance session on how to apply and obtain a SIA Licence!

Who is it for?

If you like mathematics, computer science, statistics and love research and discover, then a career in the field of data analysis may be perfect for you. Take an introductory course in Excel or Python for data analysis and learn more about the in-demand world of data analytics. Many courses are free and self-paced so you can enroll and start learning today.

Duration

We estimate that the course will take about 1 week to complete in total.

Certification

After attending the course and successfully passing a multiple-choice questions examination, candidates receive certificate.

Data Analyst Jobs

The functions of the data analyst are essential at almost every type of business or organization. The reports and key findings drive decision making and help companies stay on top of business operations, product development, competitors, strategy and much more. The broad application of the data analysis role means high demand for experts in almost every job market. A recent search on Indeed.com listed over 7,000 open job positions for data analysts in the United States. Indeed.com estimates the average salary at $70,106 per year with a high of $152,000. There is no question that the data analyst enjoys job security, a competitive salary and a host of options in terms of locations and companies.

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