A majority of IT professionals these days wish to make their careers in the field of Data Science. Data Science continues to be one of the most in-demand career paths in the tech world today. Since data is considered gold these days, data workers are also valuable assets for organizations. With massive data generated every second across the world, the need for professionals who can work with these diverse sets of data is also increasing with leaps and bounds.
The need for collecting data from various sources, changing it to readable formats, and analyzing it to extract meaningful insights and form reports are skyrocketing. This helps senior management to make informed decisions and therefore helps an organization to improve efficiency, productivity, and, eventually, ROIs.
Data processing with traditional methods is not possible because of the massive amount which is generated. So, organizations need non-conventional methods to process this humungous amount of data. Data scientists have come into action at this point. This way, organizations can measure their social impact.
Data Science is an interdisciplinary field that has become an integral part of every organization. They help in keeping medical records, keeping track of political campaigns, restocking grocery stores, calculating your monthly investments, and even checking the financial status of banks and other organizations.
If you wish to become a Data Scientist and become a valuable asset for your organization, the Caltech data science Bootcamp can be of great help. This article will give you an overview of Data Science and how to become one.
What is a Data Scientist?
Put simply, a tech professional who is an expert in analyzing and interpreting data is referred to as Data Scientist. Data Science lies at the intersection of software development, statistics, machine learning, research, and data mining. As a Data Scientist, you will find yourself busy creating algorithms to translate different patterns of data into a user-readable format in order to help in smart decision-making.
You are supposed to use your data science skills to enhance business operations and help the concerned professionals in dealing with various issues to make better decisions. Generally, a data scientist is expected to possess an advanced skill set which includes a strong background in statistics, mathematics, as well as computer science. You have to use these skills and knowledge to analyze huge data sets and identify patterns and trends hidden in those sets. You may also be required to innovate new ways of gathering and analyzing data.
Skills Required for a Data Scientist
Some of the most crucial technical skills required to succeed as a Data Scientist are mentioned below.
Apart from the technical skills mentioned above, you are also required to possess a specified set of soft skills, including critical thinking, analytical concepts, storytelling, business acumen, and communication skills (both verbal and written).
With skills and knowledge in Data Science, you get many options for career advancement. You can choose to become:
How to Become A Data Scientist?
Here is the step-by-step guide on the way you can become a Data Scientist.
1. Acquire your bachelor’s degree
A bachelor’s degree in statistics, computer science, or data science can be the most relevant start of your journey to becoming a Data Scientist. This is a common criterion that employers often look for while hiring data scientists.
2. Attain a sound knowledge of Programming Languages
Attaining a bachelor’s degree will equip you with theoretical knowledge of statistical concepts and other required concepts. It is important to master some popular programming languages, including R, Python, SQL, and SAS. these are essential for working with huge datasets.
3. Master required skills
Apart from the programming languages, you need a sound knowledge of machine learning, deep learning, data visualization, Big Data, version control systems, etc.
4. Earn Relevant Certifications
Skill-specific certifications enable you to demonstrate your knowledge and skills as a data worker.
Below are the great certifications that allow you to master the concepts of Data Science.
These are the most popular tools used by Data Scientists across the globe. So, these certifications can help you start your career path in Data Science.
5. Get Trained
The most feasible step toward becoming a Data Scientist is taking up a Data Science course from an accredited institute. With an online training course, you go through the main essence of Data Science. Many online training providers make sure that you acquire the skills and knowledge of the relevant concepts.
Is Caltech Data Science Bootcamp worth it?
Undoubtedly!!
Definitely!!
It is a world-class Data Science Bootcamp that promises to deliver a high-engagement learning experience by leveraging IBM’s industry prowess along with Caltech’s academic excellence in the domain of data science.
What will you learn in this Bootcamp?
The tools covered in this course include:
And more.
This course is a smart choice because, apart from the tools and concepts discussed above, you will get to go through real-life projects. This is the best feature of this course. Real-life projects make sure that you get to work hands-on with real data sets and acquire the practical knowledge of tools and techniques used in Data Science. Also, the training is delivered via industry experts active in their respective domains.
Finally, when you are done with the training (which you can take at your own pace), Ask Me Anything sessions make sure that there is no stone left unturned in your training.
All you need to do is, enroll yourself now!!
Looking for any information or career guidance related to Caltech AI and ML Bootcamp? Feel free to call us: at 1800-212-7688.
