Data Analyst Training Program
Person who has completed the training:
- has knowledge of statistics and data analysis and is able to carry out data analysis projects in various fields, including defining problems related to data analysis, assessing the suitability of various possible methods for collecting and analyzing data, pre-processing data, including replacing missing values, and cleaning and enriching data;
- has knowledge and skills of the most important data analysis tools (for example, Excel, Tableau, R) and is able to apply them in his work throughout the scope of the data analysis project (collecting, processing, analyzing, visualizing and sharing data);
- has at least an elementary level of knowledge of the R programming language and is able to analyze and visualize data using it;
- knows how to work with SQL databases and use the SQL query language to create databases and tables, add data, create queries and prepare data for analysis;
- has knowledge and skills in compiling and conducting surveys;
- can interpret the results and assess their reliability;
- can visualize data and present the results, including to experts in other fields, in a form that they understand;
- has knowledge of data protection and restrictions related to the use of data.
The “Data Analyst Training Program” is a retraining program conducted as an adult e-course, the purpose of which is to provide participants with basic knowledge on how to find, use, analyze and use data in assessing, measuring and arguing a business decision with the introduction of relevant methodologies. In addition, participants will gain practical basic skills in managing the life cycle of data, i.e. valorizing data. To do this, participants perform practical tasks for data processing and analysis with the appropriate software. Upon completion of the course, participants receive an official international certificate.
The training is based on the Data Analytics Professional Certification training course created by Google on the Coursera platform.
Within the framework of the programme, six e-learning modules will be completed, after which the participants will gain knowledge on how to find, use, analyse and use the data in evaluating, measuring and arguing a business decision, together with the introduction of the respective methodologies. The e-learning modules are in English.
To summarize – the retraining program is designed to equip participants with the Data Analyst knowledge and practical skills. Learners who have successfully completed the program are able to start working as a data analyst.
Target audience and prior knowledge:
- Everyone who wants to start a career as a data analyst is welcome to attend the training.
- Fluent in English at a level that allows you to independently understand educational materials, independently learn and formulate your thoughts (recommended level B1).
Technical requirements:
A Windows operating system computer with permissions to install and configure applications and having the web browser updated to the latest version (Google Chrome preferred).
Those who do not have the necessary computer can rent it by agreement with BCS Training. Please inform the training company in advance.
Program:
The training is based on the Data Analytics Professional Certification created by Google on the Coursera training platform. It includes 8 different e-learning courses in English. The training program is mostly aimed at people who have not previously encountered the field of data analytics. More information: https://www.coursera.org/professional-certificates/google-data-analytics
In this training program, these eight courses have been combined into six modules. Every learner is additionally granted to 8 academic hours of group meetings with the lecturer.
Meetings with the lecturer take place online. Upon successful completion of the course, the learners will receive certificate (certification) of completion of the course.
Time schedule:
29.08.2024 (18:00 – 19:30)
Online Webinar – opening and introduction to the training.
Independent work using e-course:
Module 1
Introduction to the topic
Module 2
Find, retrieve, prepare, and clean your data.
03.10.2024 (18:00 – 19:30)
Online Webinar – reflection of modules 1 and 2
Independent work using e-course:
Module 3
The essence of data analysis
Module 4
Visualization (using Tableau Public)
07.11.2024 (18:00- 19:30)
Online Webinar – reflection of modules 3 and 4
Independent work using e-course:
Module 5
Data analysis (using free software R)
Module 6
Capstone and Case study
12.12.2024 (18:00 – 19:30)
Online Webinar – reflection of modules 5 and 6, wrap-up of the course and introduction to Estonian law on personal data protection and data protection legislation and principles.
Please see more detailed information about the content and topics of the program in the full curriculum HERE
Study methods:
The studies take place in the e-learning environment Coursera and in the communication channel SLACK, the online webinars take place through the ZOOM web environment.
The volume of the training is 248 hours (incl.100 hours of instructional videos, 140 hours of independent work with practical exercises and 8 hours of online webinar in the training environment ZOOM).
Please see more detailed information about the study methods in the full curriculum HERE
Assessment method: The assessment of progress in learning takes place in a digital environment: taking e-courses and solving tasks. Also, participation in online webinars.
Assessment criteria:
- Completion of compulsory e-courses at least 80%
- Solving mandatory tasks within the framework of the e-course to the extent of at least 80%
- Participation in online webinars to the extent of at least 75%.
Completion of training: A graduate of the course receives a certification if one fulfils all the assessment criteria for the course. Participants who do not meet the assessment criteria will be issued, upon request, with a “certificate of participation” in the training.
The price includes: Access to the learning environment, study materials, online webinars.
Curriculum group: 0611 Computer use