Data Science Job Roles, Salary Structure and Course Fees in South Africa

We are in the midst of a data thunderclap. In the last decade, a large amount of data has been created. This has paved the path for businesses to develop systems to mine data, analyse data, and generate insights and value from data. As a result, workers with the necessary abilities are in high demand as the need for data storage, processing, and security develops. The tech industry’s newest buzzword, data science, promises high salaries and rapid job development. Data science, but, what is it exactly? Is it a wise decision for a career?

What do you know about data science?

Data science, to put it simply, is the study and application of data to support the development of new goods and services as well as business decisions. Data scientists investigate the sources of information, the ways in which data can be used to make interesting stories, and the implications of patterns for business outcomes. The need for data scientists is related to the fact that more businesses are stepping up their big data, Internet of Things (IoT), and cybersecurity initiatives, and that small- to medium-sized businesses are also enhancing their data analytics capabilities.

What is Data Science?

What are the skills and job roles for data science?

Data science was predicted by Harvard Business Review to be the most promising vocation of the 21st century in 2012. Many people took this as a cue and began upgrading their skills; they then made a smooth transition into roles as data scientists or data science analysts at some of the most prestigious international organisations.

The dynamic advancements in Big Data, Machine Learning, and Artificial Intelligence are key to the future of data science. In today’s modern job market, professionals with the newest talents have an advantage thanks to these cutting-edge fields, which also fuel their careers with the next-generation data-driven skills. You must also acquire the appropriate technical and soft skills like;

• Programming skills
• Knowledge of machine learning and AI
• Mathematics
• Critical thought
• Listening
• Persuasive communication
• Business Acumen
• Problem-solving

The number of doors that data science opens for a person is the primary factor that makes it remarkable. Apart from being a data scientist, there are numerous other job roles in data science that you can pursue like those given below;

• Data Analyst
• Machine Learning Engineer
• Data Engineer
• Statistician
• Data and Analytics Manager
• Database Administrator
• Data Architect
• Business Analyst

Read the following Article: Resampling Methods in Machine Learning

How much is the salary for a data science professional in South Africa?

Aside from the prospects for growth, the financial rewards of a professional choice are a crucial factor in deciding whether to pursue it. Additionally, careers in data science do offer competitive compensation. Education, experience, field, position, geography, and — most importantly of all — the size and makeup of the organisation hiring the data scientist are just a few of the many variables that affect remuneration packages for data scientists. According to the US Bureau of Labor Statistics, there will be over 11.5 million jobs available for data scientists by 2026. To enable more efficiency and planning, businesses are hard at work increasing their data science personnel. Nevertheless, data from Glassdoor shows that the typical sum varies between $95,000 and $250,000 worldwide.

Africa has immense opportunities, and IT clusters are bridging the gap. Africa’s largest cities are witnessing the emergence of vibrant technological realities. The continent’s ever-expanding, innovative communities have also fueled the present expansion of African tech clusters. Thus according to Payscale, data scientists in South Africa can earn an average annual salary of 424,932 ZAR. However, depending on the firm and experience, it might range from 215,000 ZAR to 701,000 ZAR. As per Indeed.com, a data scientist’s salary in South Africa is 809 066 ZAR a year with a monthly salary of 57,238 ZAR! The salary for a data scientist in South Africa is ZAR 606,866 per annum. (Source: The Economic Research Institute)

Being a broad domain, data science in South Africa is a highly favoured career path.

The two most prominent cities, Cape Town has a strong start-up community that, while still in its infancy, is showing enormous promise. According to Invest Cape Town data, Cape Town is home to the vast majority (almost 60%) of South Africa’s start-ups. The domain of data science in Cape Town is thriving. The average data scientist salary in Cape Town is ZAR 46,936 a month as per Glassdoor.

Johannesburg is a vibrant place to live and work that attracts and generates talent in South Africa. The city accounts for 16% of South Africa’s GDP and employs 12% of the national workforce. The average salary for a data scientist in Johannesburg is ZAR 5,45,237 per annum with the highest salary being 9,59,000 ZAR and the lowest being ZAR 3,51,058 a year, this proves how lucrative career option data science in Johannesburg is!

Why get a data science certification course in South Africa?

The explosion of information enables industry growth through data science. Healthcare, financial, energy, media, and a number of other industries are now able to employ data science to acquire insights from massive data that help with the optimization of business decisions. Data science application has had a significant impact on a variety of industries. Revenue margins have drastically increased as a result of increased operational efficiency. It’s hardly surprising that there will always be a high demand for the profession and a tempting average wage.

Whether you want to acquire a certification from a reputable university, gain experience as a recent graduate, hone vendor-specific abilities, or demonstrate your knowledge of data science a data science certifications allow you to not only gain hard-to-find talents in your target field but also to authenticate your data science knowledge.

DataMites is the leading provider of data science courses in South Africa. DataMites Data Science Certification Programmes in South Africa are a wonderful method to study data science. You will receive a thorough curriculum and will achieve your goal in a disciplined manner. The course is typically given by industry experts and contain high-quality information. No surprise, there are numerous opportunities all across the world, particularly in South Africa. Data science has a market value of $38 billion today and is anticipated to reach $140 billion by 2025! It is undoubtedly a high-growth role.

How much are the Data Science Course Fees in South Africa?

Generally speaking the data science course fees in South Africa can vary from 10724.98 ZAR to 42899.91 ZAR. However, at DataMites the data science training in South Africa is offered to you at a flexible rate. The certification curriculum is completed online through DataMites on a flexible schedule and takes an average of seven months to complete, but you are free to take more or less time. Our entire data science programme has received IABAC accreditation, which is a sign of quality around the world. The course includes hands-on projects to assist you in developing a portfolio to display your data science skills to potential employers.

A certification based on experience rather than formal coursework or tests As a Certified Data Scientist, you’ll begin at level one. Take the “Certified Data Science” course for beginners to learn data science abilities. It is a high-level data science concept designed to establish fundamental principles for all aspects of data science. The Certified Data Scientist Training at DataMites costs ZAR 38,200, however, you can enrol for ZAR 23,451 owing to the discount offer.

Conclusion

Due to a dearth of qualified applicants with a talent for utilising the power of data, the ever-increasing need for Data Science specialists hasn’t been addressed. It is advised for young professionals to comprehend and acquire the skills required for diverse data science professions in order to capitalise on this highly demanded field and launch a lucrative career!

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Autoregression – Data Science Terminologies