Course description
Today’s world is driven by data. More than ever, companies are striving to understand how to improve their operations by dissecting the data they collect to understand clients’ needs and industry trends.
As a Data Analyst, you could find yourself working within a wide range of organisations across a variety of sectors, but the common denominator is the need to glean insights from data. Data comes in a variety of forms and is stored in a variety of database management systems. And your first and foremost goal is to gather insights from the data. Often, you will be dealing with unstructured data stored in different types of data management systems. To achieve meaningful analytical results, several skills must be mastered.
In this diploma, you’ll gain practical analytical skills as you work through the courses. Not only will you find out more about how data is created and managed, but you’ll also look at the fundamentals of research methods and statistical analysis. You will also develop a strong foundation with the most powerful programming languages available for data manipulation, cleaning, and analysis.
Upcoming start dates
Suitability - Who should attend?
Is this for you?
This training is ideal for those who are new to data analysis and also appropriate for those who may already be working in tech or data science and would like to specialise and become proficient with the tools and techniques of data analysis.
Pre-Requisites
Successful candidates will be proficient with Microsoft Excel and have a solid background in mathematics (e.g., algebra) and strong critical-thinking and problem-solving skills. Previous exposure to coding is a plus.
Outcome / Qualification etc.
With this diploma, you’ll acquire a solid foundation of knowledge and skill to become a junior Data Analyst. You’ll work with Python and R, two programming languages widely used in the field of data analysis. And you’ll develop valuable skills with SQL, used for querying databases, and Tableau, which is widely used for data visualisation.
Training Course Content
- Excel Expert
- Data Research and Statistical Techniques
- Data Visualisation with Tableau
- Fundamentals of AI and Machine Learning
- Project Management for Data Analysts
- Python for Data Analysts
- R Programming and Statistical Analysis
- SQL for Data Analysts
Continuing Studies
There are many options available in this field. You could become a data science professional, pursuing jobs such as data analyst or database developer; or you could go into an analytics-related role, such as business analyst or data-driven manager. The opportunities are countless!
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Pitman Training enable businesses to upskill their people and teams to take advantage of changing technologies and ways of working. This is reflected in our range of digital skills programmes that go far beyond Pitman Training’s traditional strengths in Office...