The Data Science Journey
So you must be asking yourself:
“Okay, so what is the career path for a Data Scientist?”
“How do I get a job in Data Science?”
“Where do I seek help to migrate laterally to Data Science?”
“Is upskilling enough to get me going?”
“Does a standalone certificate help me find that much-coveted Data Science role?”
Whether you are a fresh university grad headed for a beginner Data Science role, or a 30s something professional looking for a challenging Data Science job that pays top dollar (or INR!), you have already set sail on your Data Science journey! I call it a “journey” as the Data Science career path involves various legs or stages of both, learning and hands-on training. What’s more, the Data Science journey offers you the option of onboarding at any stage along with your career.
The three essential elements of a Data Science career path
Data Science calls for any of several disciplines like Math, Stats, Computer Science; knowledge of software, coding and database management; as well as practical experience on projects using datasets and real-world case studies. Thus you may choose to onboard upon graduation, after a few years of work experience, or when a higher position in the job hierarchy calls for a deep Data Science job role. For, the Data Science journey has countless ports-of-call when you can onboard. Sounds great, doesn’t it?
As Data Science takes data-driven companies by storm, Data Science job roles are aplenty. Businesses are witnessing the more and more digital transformation and handling voluminous amounts of streaming data. All of that calls for several Data Science job roles across industries and business sizes.
How do you fit in your career plans within the most valuable profession of the century?
If you belong to the Gen Z (> 23 years old), then you may be fortunate to have studied Data Analytics as part of your MBA/B.Tech curriculum. However, they are at best a couple of PDFs containing elementary statistics and data analytics, requiring further exploration. As a Gen X (39-53 years old) or Gen Y (millennial), you may not have had the opportunity to study data science. So how do you upskill or retrofit your career to align with a Data Science career trajectory? Enrolling for a Data Science course, of course!
With India fast-tracking its growth and Digital India initiatives, the Data Science career scope is at an all-time high and growing. The demand is much higher than the availability of Data Science professionals. The right course equips you with the necessary skill sets and practical hands-on learning for the job role you want. Faced with a wide choice, which course should you opt for?
The course that offers self-paced learning with industry experts leading the way, and dedicated MENTORING!
Yes, a mentor-steered course stands out from the herd when you are faced with a choice of institutes. Springboard is the only platform in India to offer a mentor-driven Data Science course. Your search for the right Data Science course stops here!
What next after onboarding?
Once you have decided upon upskilling in Data Science, you need to chart your learning curve. From taking a Data Science certification to supplementing your learning with software and data projects, planning your route makes for a faster learning-to-job. As a mentor assisted learning is the right way to navigate your Data Science journey, go ahead and enroll.
Before you register for your Data Science course at Springboard, you may want to know a little bit more about the role of a mentor. So let me explain.
Mentors are the Helmsmen of your Data Science Career Course
Consider your Data Science journey as a sailing course. You need a captain at the helm to steer you along the right sailing route, to make sure you navigate the choppy waters of data source gathering and manipulation, and ensure you arrive at your destination port, the Data Science certification, and job.
The helmsman steers you through the entire learning path. He or she is always there for you to help you understand the nuances of your lessons, to lend a hand in cracking tough problems if you are stuck, to answer your queries, and support you in your projects. A helmsman as a mentor steers your Data Science journey, facilitates steady learning suited to your interests and industry needs, and executes the itinerary (lesson plans and exams) to fit your schedule. What’s more, the mentor helps you anchor at your destination harbor, by helping you find a job role that best fits your interests and skills.
The Benefits of Having Mentors
A Data Science course supported by a mentor is a whole new concept in India. If you want to know how you could benefit from a mentor along your Data Science journey, read on.
The Helmsman (or woman) has your back!
A. Knowledgeable experts to guide you
As your Data Science Mentors are experienced industry professionals, they are au fait with the requirements of various Data Science job roles. They are knowledgeable experts who have been there and navigated the journey with success. These experts can guide you with practical advice and support. They help you develop the necessary soft skills and identify job roles that best fit your personality traits and education. They give you that much-needed sense of direction and steer you towards your goals and aspirations. Mentors also help you to develop strategies for dealing with both personal and academic issues.
B. You gain from constructive criticism
Mentors offer you an expert perspective of your career trajectory. They review your projects and your learning progression to give feedback on which you can act upon. As a student, you gain from their critique and are able to hone your technical and soft skills to make yourself Data Science ready.
C. A continuous encouragement
Mentors are usually available 24/7 on emails, and what’s app groups for a personal one-to-one engagement. This ongoing support is a great comfort when you need lesson guidance, answer a question about a project or need advice on which programming language to use for your project. As the mentor facilitates your learning as well as job application plans, the ability to engage with him adds a fillip to your learning process.
D. Bounce ideas
The mentor is like your course counselor with whom you bounce ideas and thoughts. What language will work best does with a project? How should you approach the given problem or case study? Should you go for additional learning software for your target job? Which Data Scientist job role suits your aptitude, education, and skills? Does a finance job match your math skills? Should you apply for a job in an e-commerce company given that you performed well in your projects where you worked on real e-commerce problems?
The mentor is your ultimate guide during your certification, with who you can bounce ideas, thoughts, and plans.
E. Advisors to look up to
Mentors are qualified expert professionals and advisors, who are part of your course. You look up to them for advice, guidance, facilitation and sometimes even as potential employers if you chose to join their company!
As facilitators, mentors are the ultimate connectors, who match your learning and skills to the right Data Scientist job role. They help you identify the industry, the Data Scientist job role and the business environment. How do you go about pitching for the Data Architect job role advertised on Glassdoor? How to prepare for the Data Generalist interview for the logistics company? The mentor may also go beyond helping you prepare for the interview and job application, by referring you to a Data Scientist job role in a company. If your mentor is impressed with your capabilities and find you suited to a job opening, he may also recommend you. Ultimately, it depends upon you as the mentee, how you can leverage the support of the mentor for your Data Science trajectory.
G. Act as incubators of ideas
Mentors have deep industry knowledge and work with students and mid-career professionals from various backgrounds and with varying aptitudes. They have the innate ability to spot a Data Science gem and have the ability to open doors for you and introduce you to other people in their network. However, it is not incumbent upon him to do so. It depends upon how impressed the mentor is with your analytical skills and speed to work with real-world problems.
H. They come free of costs and commitments
Of course, last but not least is that your mentor is part of your Springboard learning. You do not dish out extra fees or commit to extra time for the support of your mentor.
Being mentored is one of the most valuable opportunities you can have along with your certification. Having the guidance, encouragement, and support of a trusted and experienced professional can broaden your personal growth and performance. If you are a good and efficient crew member supporting your mentor’s efforts, you can look forward to a great Data Science journey!