“Where there is data smoke, there is business fire.”
Thomas Redman, aka “the Data Doc”
It’s time to not burn your hands, instead ignite the spark in your data science career with the internationally-famed data science revolution. Being a part of this huge gamut of things takes a lot more than just skill and qualification. It demands experience, commitment, zeal, and the right data science certification to shout out your credibility to play a bigger role. As Thomas Redman rightly mentioned, growth is where the data is. Data has become the soul fuel for numerous industries as well as the backbone of big corporate giants. Industries such as Banking and securities, manufacturing, natural resources, retail and wholesale trade, healthcare, education, insurance, automotive, eCommerce, and what not, have benefitted from the key business insights dwelled upon by specialized personnel at work.
Recent data shows the data analytics market growing at an enormous rate, with stakes leveraged as high as $655.53 billion by the year 2029, which is setting the right track for an elevated data science trajectory. In today’s corporate landscape, data analytics has become an essential element for many of the fastest-growing sectors such as marketing, banking, information technology, and others. With this huge responsibility on data to offer better business insights, Certified Senior Data Scientists are required to enable targeted real-time results.
Even after talking at great lengths about the inclusivity of data in our daily lives, some question the need of equipping oneself with the best data science certification. The recruiters across the globe always set their bets on the dark horses with the right credentials. A trusted data science certification is one of the absolute favorites on the list!
Undoubtedly, a lucrative data science career awaits the professionals who understand the pivotal facet of these certifications, which are way more than mere digital badges. These not only just help you hone your craft, but also inform the prospective employer of your capabilities for performing the open job role.
The prerequisite points listed below would help you decide whether you’re made for the industry or otherwise:
- Should be familiar with one of the popular high-level programming languages and its libraries such as Python and NumPy, preferably.
- Knowledge about probability and statistics is a win situation
Post checking for the basic data science skills to possess as a participant, it’s time for the key factors to consider while you decide to dive into one of the best data science certifications:
- Certification must be formatted in a user-friendly learning platform
- It should be backed by learned instructors who enable business inside stories and experience
- Check for the past reviews and credentials of the program
- It should be value for money
Having decided on the most appropriate data science certification and a prior industry skill check, let us delve deeper into the most promising data science certificationsfor 2023:
- IBM Data Analyst
IBM offers fundamental data analytics training under this program for absolute beginners. It covers topics such as analyzing data with excel, basic data analytics, data visualization, Python, and basic programming; and also offers free auditing.
2. Certified Lead Data Scientist (CLDS™) by the United States Data Science Institute (USDSI™)
Vouched as the most effective cross-platform data science certification of the times, expect an enhanced career trajectory to the next level of a data scientist or data architect role. Certified Lead Data Scientist (CLDS™) from USDSI™is one of the prestigious certifications worldwide, that offers self-paced lessons, a curriculum vetted by learned industry experts, and the data science skills that are futureproofed and immunize your future growth. Emerge as the leading data scientist of tomorrow with fierce data science skills inclusive of Data Analysis Lifecycle and Workflow, key Databases, ML and Power BI,Case studies, Containerization, IoT, Cloud, RPA, Advanced Big Data analytics, and much more.
3. Amazon AWS Certified Big Data
This Amazon certification calls for a prior hands-on experience of a minimum of two years on Amazon Web Services (AWS) technology. It helps you build, deploy, and manage websites. Log analytics, streaming analytics, and machine learning are part of the curriculum.
We understand that getting a data analytics certification must be one of the priorities to be met at the time of recruitment; as it intensely powers your data science career. It is equally important to understand the key nooks of each certification as it is going to decide the future track of your career growth. No doubt, the year 2023 would just be the beginning of something extravagant to take place in the future of data sciences to follow. Evolve with the market trends today!
