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Data science is an interdisciplinary discipline concerned with scientific methods, procedures, and technologies for extracting knowledge or insight from various types of data. The PG Diploma in Data Science course at premium Usha Martin University provides students with all of the conceptual and technical competencies needed to succeed in the analytics sector. The course exposes learners to business analytics using the most popular analytics technologies, such as R and Python, and teaches them how to use data science concepts like data exploration, visualization, and hypothesis testing. Special emphasis is placed on Machine learning algorithms for regression, classification, and clustering. The program is specifically designed for students who want to improve their Data Science skills.
After completing this one-year Postgraduate Diploma Course students can become competent Data Science professionals by mastering Data Visualization, Artificial Intelligence & Neural Networks, Exploratory Data Analysis, and implementing Big Data techniques using tools such as R, Excel, Tableau, SQL, NoSQL, Hadoop, and many more. The program is taught by UMU’s highly qualified and experienced faculty, where students get hands-on learning experience in Data Science laboratories that are equipped with the latest analytics software & applications.
The PG Diploma in Data Science program is designed to educate students for a career as a data scientist in the corporate world, as well as entrepreneurship, public policy, and academics. This Data Science course focuses on the essential statistical, quantitative, and computer skills required in these professions, while, also providing students with commercial domain expertise to help them add value as data scientists. Python, R, Tableau, Hadoop, MySQL, Hive, Excel, PowerBI, MongoDB, Shiny, Keras, TensorFlow, PySpark, HBase, and Apache Airflow are the programming languages and technologies covered in this course. Students will master skills such as predictive analysis in Python, data visualization, business issue solving, natural language processing, big data, machine learning, and more in this data science course.
First and probably most important, before we delve into Data Science in depth, it is reasonable to be confused about what Data Science is. What tasks does it serve, and what is its significance? Why should you pursue a Postgraduate Diploma in Data Science? Thus, we will try to comprehend it clearly and concisely in this article.
What is Data Science?
Massive volumes of data can now be collected and stored because of accelerated digitalization and enormous increases in computing power. Data Science is the science of analyzing this data, which is typically untidy and unstructured, to find patterns and make predictions. Its spectrum of applications is growing by the day, and it now includes everything from politics to healthcare to retail marketing. Data science is one of the most promising and in-demand professional pathways for skilled candidates. Today’s effective data professionals have realized that they must go beyond typical data analysis, data mining, and programming skills. Data scientists must grasp the whole data science life cycle and have a level of flexibility and awareness to maximize returns at each stage of the process in order to discover meaningful intelligence for their organizations. Overall, Data Science assists you in solving real-time problems faced by businesses by delivering insights and solutions derived from your data exploration.
What Does a Data Scientist Do?
Data scientists have become indispensable assets in almost every organization during the last few decades. These professionals are well-rounded, data-driven individuals with advanced technical capabilities who can construct complicated quantitative techniques to organise and synthesize vast amounts of data in order to answer questions and drive strategy in their company. This is paired with the leadership and communication skills required to provide positive results to numerous stakeholders throughout a business or firm. Data scientists must be analytical and results-oriented, with extensive industry knowledge and the ability to communicate highly technical results to non-technical colleagues. They should have a strong quantitative foundation in stats and linear algebra, as well as programming skills with a focus on data storage, mining, and modelling, which they use to build and analyse algorithms.
Career Prospects after PG Diploma in Data Science
The PG Diploma in Data Science degree from UMU, the best university in Ranchi open up plethora of opportunities for students who want to improve their resumes and gain new skills. Data analysis is used by the variety of companies to help them flourish. Data scientists are in high demand not only in the IT industry, but also in other important industries such as FMCG, logistics, and others. It is admirable to note that the world’s top five firms, namely Google, Amazon, Apple, Microsoft, and Facebook, employ half of the world’s data scientists.
Students in data science have a wide range of job options. Here are a few of them:
- Data Scientist
- Data Engineer
- Applications Architect
- Data Administrator
- Business Analyst
- Data Architect
- Infrastructure Architect
- Data Mining Engineer
- Research Analyst
- Statistician
- Machine Learning Engineer
- Business Intelligence Manager
Top Recruiters of Data Scientsts:
- Amazon
- Novartis
- Accenture Consulting
- Yahoo
- Tumblr
- RBS
- ICICI Bank
- Flipkart
- Kotak Mahindra
- Accenture Consulting
- KPMG
- Fractal
- HDFC Bank
- Yes Bank
- Snapdeal
- Make My Trip
- E&Y
- Walmart Labs
- ZS Associates
Expected Salary
Data science is in growing market, and as a result, it pays highly. In India, the average salary for a data scientist is about 4.96 lakhs per annum. This amount can raise up to 9.98 lakhs per year depending on your experience, extra skills, location, and company. You can expect to make approximately 3.50 lakhs per year as a data analyst if you’re beginning out or have less than one year of experience in the profession. You may expect to earn 4.83 lakhs per year if you have 1-4 years of experience. Analysts with 5 to 9 years of experience can expect to be paid around 7.20 lakhs per year. Candidates with 10 to 19 years of experience can expect to earn about 12.75 lakhs annually.
