This Post -Graduate Certification In Data Science Can Put You On An Exciting Career Trajectory
Given the recent developments in the field of data science and analytics, demand for data scientists and machine learning engineers has risen significantly. Data Science is one of the most exciting careers currently and our recent article, citing data from LinkedIn indicated that there are 9.8 times more ML engineers working today as compared to five years ago. A LinkedIn survey put Machine learning Engineers and Data Scientists among the emerging job roles in the ‘Emerging Jobs’ list. Today, Data Scientists are increasingly required to have the skills beyond just statistical tools and techniques and achieving this requires a broader skill set across the data science and software engineering spectrum. Great Learning’s full-time 5-month Data Science & Engineering programme aimed at freshers and early stage career professionals has been developed in response to the growing demand for data scientists and data engineers. This applied programme, which provides a comprehensive introduction to machine learning with Python and SQL trains candidates with 0-3 years of work experience in the high demand area of data science and engineering. The full-time classroom programme, covers the breadth and depth required for a career in Data Science and Engineering and balances theory and practice effectively. The programme is led by an experienced faculty and practicing data science professionals. The project-based coursework emphasises practical proficiency through a series of hands-on projects and case studies. To gain skills in this field, one needs to understand how to apply machine learning concepts to data using Python and SQL. The well-paced programme trains candidates in data processing and analysis with Python and also teaches how to build accurate data science models using Python libraries. A module on database programming with MySQL teaches how to query data using MySQL. “The PGP-DSE programme has been offered keeping in mind the exponential increase in job opportunities in the industry across not just the country, but globally. The programme has been designed to impart industry relevant knowledge in the shortest and most impactful way possible. Like all programmes offered by Great Learning, this programme focuses on learning by doing, with participants getting hands-on experience on data tools and techniques so that they’re job-ready from Day 1” says Hari Nair, Co-Founder, Great Learning. Hard Facts Course: PGP in Data Science and Engineering Type: Full-time Duration: Five months Centres: Bengaluru, Chennai, Hyderabad, Delhi-NCR, Mumbai and Pune Structure: 16 weeks of full-time classroom sessions and 4 weeks project work Tools: Python, Tableau & MySQL Requisite: The programme is open to graduates with a minimum of 60% marks and for candidates with a maximum  of three years’ work experience. Credentials: On the completion of the course, candidates are awarded a Post-Graduate Certificate from Great Lakes What You’ll Learn The core courses included in the curriculum are Data Science Foundation, Machine Learning techniques, and is backed by a Capstone project, case studies and weekly assignments. The programme also extensively covers tools used for large-scale data analysis such as Python and SQL. Meanwhile, the case studies and Capstone project provide relevant hands-on experience and allow the students to put classroom concepts to practice. How This Full-Time Programme Differs From The Rest Full-time course: The full-time programme allows students to build a strong foundation in data science and data analysis.  It also provides students from diverse backgrounds with a rigorous learning environment to understand the fundamentals of data science and engineering. The 4-weeks of project work allows students to bolster their learning with real-world, problem-solving experience. Career Pathways one can explore: Early stage professionals who want to transition to the field of analytics and data science find it difficult to find a programme that can prepare them effectively for data science roles in leading organizations. Great Learning PGP in Data Science and Engineering has been developed in collaboration with the industry to train candidates for roles like Data Analysts, Business Analysts, Data scientists. It boasts of an industry-relevant curriculum and features 7 projects including a Capstone project. Placement assistance: The success of Great Learnings programmes also lies in the number of transitions their learners make. The PGP-DSE comes with placement assistance offered by Great Learning. As per their latest placement report, there are over 50+ top of the line companies like TCS, Fractal Analytics, Latent View, Manthan Systems, Math Company, Flipkart, Mahindra, Kantar, TVS, Cognizant, Big Basket, G Square, Servian, Tata IQ, Swiggy, HSBC, HP Enterprise and Razorthink among others participating in the Recruitment Drive for PGP in DSE. In addition to this, the highest CTC was around ₹13.2 lakh  with the average salary of ₹6.47 lakh. Most candidates received a 65% salary hike on average. Companies from across domains such as  BFSI, E-commerce, IT/ITES, Manufacturing/Auto, Analytics and Consulting are part of the recruitment drive. To apply, click here This programme admits students on a rolling basis throughout the year. Interested candidates will have to fill up an online application and undergo a selection process.
Given the recent developments in the field of data science and analytics, demand for data scientists and machine learning engineers has risen significantly. Data Science is one of the most exciting careers currently and our recent article, citing data from LinkedIn indicated that there are 9.8 times more ML engineers working today as compared to […]
GL’s full-time 5-month Data Science & Engineering programme aimed at freshers and early stage career professionals has been developed in response to the growing demand for data scientists and data engineers
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Richa Bhatia is a seasoned journalist with six-years experience in reportage and news coverage and has had stints at Times of India and The Indian Express. She is an avid reader, mum to a feisty two-year-old and loves writing about the next-gen technology that is shaping our world.