Data Sciences

Dr T P Singh | Professor | UPES

What is Data Sciences?

Data Sciences is a great Career option. Understanding Why one wants to choose a Career in Data Sciences is phenomenally more important than figuring out How to get into Data Sciences. The most authoritative source of information on Data Sciences is someone with real experience in it.

Professor Dr T P Singh invested 22 years & 4 months in Data Sciences. Here is how Professor Dr T P Singh detailed Data Sciences:

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining.

How Professor Dr T P Singh got into Data Sciences?

After completing my education, I started my career with TCS as a DBA. After that, I joined Sharda University as an Associate Professor and worked there for almost 17 years. I am a Professor at UPES since 2017.

Professor Dr T P Singh's Talk on Data Sciences

The Journey of a Data Scientist: Insights from T P Singh’s Career In the rapidly evolving world of data science, few have navigated its complexities with as much dedication and insight as T P Singh. With a robust academic background and years of practical experience in the field, Singh has made significant contributions as both a professor and a practitioner. This article will explore Singh's journey in data science, shedding light on the essential education, skills, and daily realities of this exciting profession, as well as the prospects and challenges that come with it. What Is Data Sciences? Data science is an interdisciplinary field that combines statistics, mathematics, programming, and domain expertise to extract meaningful insights from vast amounts of data. According to T P Singh, data science plays a crucial role in helping organizations make informed decisions by analyzing trends and patterns derived from internal and external data sources. These insights can significantly improve business outcomes and strategic planning, making data scientists indispensable in today's data-driven world. With technology continuing to evolve, the demand for skilled data scientists remains high, as they are tasked with interpreting complex datasets across various industries. Education Maths A strong foundation in mathematics is essential for anyone aspiring to become a successful data scientist. T P Singh emphasizes the importance of being well-versed in areas such as linear algebra, probability, and calculus applications. Understanding these mathematical principles allows data scientists to create reliable models and algorithms that can interpret and analyze data effectively. Without a solid grasp of these concepts, it would be challenging to derive meaningful insights or make accurate predictions. Statistics Statistics plays a pivotal role in data science, as it equips professionals with the tools needed for rigorous data analysis. According to Singh, proficiency in hypothesis testing, regression analysis, and understanding variances and correlations are crucial for making sense of complex data sets. A solid background in statistics enables data scientists to identify trends and relationships that might not be immediately apparent, ensuring that their analyses are both accurate and actionable. Programming Languages Programming proficiency is another critical element of data science education. T P Singh highlights the importance of languages such as Python and R for automating data analysis tasks. Familiarity with these programming languages allows data scientists to streamline their processes, manipulate data, and develop algorithms more efficiently. Knowledge of additional languages like C++, SQL, and big data platforms such as Hadoop further enhances a data scientist's toolkit, making them more versatile in tackling various tasks. Business Intelligence Understanding business intelligence is vital for data scientists, as their analyses must align with the needs of the companies they work for. T P Singh emphasizes that being able to relate data outcomes to business benefits is crucial. This understanding enables data scientists to communicate their findings effectively, ensuring that management can leverage data insights in strategic decision-making processes. Internet of Things As T P Singh points out, the Internet of Things (IoT) has become increasingly significant in the realm of data science. A foundational knowledge of IoT applications is essential, as data scientists often work with data generated by a myriad of connected devices. This understanding allows them to analyze trends emerging from IoT systems and develop solutions that enhance efficiency and productivity in various industries. Systems Development Life Cycle Familiarity with the Software Development Life Cycle (SDLC) is an important educational aspect for aspiring data scientists. T P Singh stresses that understanding the principles of software development can significantly improve a data scientist's ability to contribute effectively to projects. Knowledge of SDLC allows data scientists to better manage their workflows, collaborate with software developers, and ensure that their analyses fit seamlessly within larger project frameworks. Skills Problem Solving The ability to solve problems is at the heart of data science. T P Singh notes that data scientists must possess strong analytical skills to dissect complex data sets and extract meaningful solutions. As they work with large volumes of data, being able to identify the right questions and drive towards innovative solutions is crucial for success in this dynamic field. Analytical Skills Analytical skills are paramount in data science, as they enable professionals to interpret data and derive insights accurately. T P Singh emphasizes that data scientists need to think critically when assessing data trends and patterns. This analytical perspective allows them to approach problems from multiple angles, ultimately leading to more robust and innovative solutions. Interpersonal Skills Effective communication and interpersonal skills are invaluable in data science. T P Singh points out that data scientists often collaborate with professionals from diverse backgrounds, including marketing and technical teams. Strong interpersonal skills help data scientists navigate various viewpoints and gather necessary insights, facilitating effective teamwork and project success. Communication Skills Being able to communicate complex data findings in a clear and compelling manner is essential for data scientists. T P Singh highlights that data scientists must present their insights to stakeholders and team members who may not have a technical background. Effective communication ensures that data-driven insights are understood and utilized in strategic decision-making. Software Tools Familiarity with various software tools is crucial for data scientists. T P Singh mentions that proficiency in programming languages such as R and Python, as well as big data platforms like Hadoop, is necessary for analyzing large data sets. In addition, knowledge of visualization tools and cloud technologies can greatly enhance a data scientist's ability to extract insights efficiently and effectively. Research Orientation A research-oriented mindset is essential for successful data scientists. T P Singh stresses that they must constantly explore new dimensions of data and approach problems from novel perspectives. This independence in thought fosters creativity and innovation, enabling data scientists to uncover unique insights that can drive business success. Independent Thinking Independent thinking is a hallmark of a successful data scientist. T P Singh encourages aspiring data scientists to develop their unique perspectives and approaches when analyzing data. This independence fosters creativity and originality, allowing data scientists to propose groundbreaking solutions that set them apart in a competitive field. Management Skills As data scientists often work in teams, management skills become increasingly important. T P Singh acknowledges that data scientists need to manage larger teams effectively, distributing tasks and ensuring collaboration to achieve project goals. Strong management skills can streamline workflows and enhance team performance, contributing to more effective analyses. Positives Exponentially Growing Field Data science is an exponentially growing field that presents numerous opportunities for professionals. T P Singh points out that, at present, every individual generates 1.7 megabytes of data each second. This vast volume of data creates ample opportunities for data scientists to analyze and derive insights across a wide array of industries, making it an incredibly promising career. High Demand The demand for data scientists continues to rise as organizations increasingly rely on data-driven insights. T P Singh emphasizes that businesses are eager for data experts who can uncover trends and inform strategic decisions. As a result, data scientists enjoy strong job security and career growth potential in this thriving industry. Exploring New Ideas Data scientists have the unique opportunity to explore innovative ideas and approaches to problem-solving. T P Singh highlights that working with data provides a platform for creative thinking, allowing data scientists to devise solutions that can change the landscape of industries. This freedom to innovate makes data science an exciting and rewarding career choice. Cross Functional Domains A career in data science often involves collaboration across various functional domains. T P Singh notes that data scientists frequently work alongside professionals from marketing, finance, and technology, providing a rich and diverse work environment. This cross-functional engagement fosters learning and enhances collaboration, making the work both dynamic and fulfilling. Work Life Balance T P Singh mentions that data science offers the flexibility of remote work, granting professionals a favorable work-life balance. With advancements in cloud technology, data scientists can access data from anywhere, allowing them to work from home and maintain personal commitments. This adaptability adds to the profession's appeal, making it more accommodating to individual lifestyles. Domain Independence One of the unique advantages of a data science career is domain independence. T P Singh emphasizes that data scientists can operate effectively across various industries without requiring extensive domain expertise. This flexibility allows for diverse career opportunities and the chance to apply analytical skills to a broad range of challenges. Challenges Knowledge Upgradation Keeping up with technological advancements is a significant challenge in the field of data science. T P Singh highlights the importance of continuous learning, as new tools and technologies emerge regularly. Data scientists must remain proactive about upgrading their skills and knowledge to stay competitive in this fast-paced industry. Expected Real Time Response In today's competitive landscape, businesses expect data scientists to deliver insights quickly. T P Singh points out that meeting these expectations can be challenging, especially when faced with tight deadlines. Data scientists must develop efficient processes to analyze data in real-time, striking a delicate balance between speed and accuracy. Unstructured Data Dealing with unstructured data is another common challenge for data scientists. T P Singh explains that while vast amounts of data are available, much of it is in unstructured formats, making analysis complex. Data scientists must develop strategies to transform this unstructured data into structured formats, enabling them to apply analytical techniques effectively. Thinking Out of Box Differentiating oneself in the data science field requires innovative thinking. T P Singh emphasizes that data scientists must be willing to challenge conventional methodologies and propose new solutions to stand out. Creative problem-solving is essential for developing unique insights that can provide a competitive edge in the industry. A Day Of Data Sciences A typical day for a data scientist, as described by T P Singh, is dynamic and engaging. Mornings often begin with thoughts about tackling big data challenges, from writing algorithms to presenting findings. As an academician, T P Singh values collaboration with students, engaging in discussions over lunch about their projects and how best to approach complex data problems. Continuous communication in the evenings, whether through emails or follow-up meetings, is essential for refining solutions and maintaining progress in ongoing analyses. This cyclical exchange of ideas and collaboration fosters a vibrant learning environment, ensuring that every day is filled with new insights and challenges to explore. The journey into the field of data science is as rewarding as it is complex. T P Singh's insights offer a valuable perspective on the essential skills, education, and daily realities faced by data scientists. As businesses increasingly rely on data-driven decision-making, the impact of this profession will only continue to grow, underscoring the importance of innovation, adaptability, and continuous learning in the quest for knowledge and solutions.

Install the LifePage App to:

(for Free) Watch Professor Dr T P Singh’s full Data Sciences Career Talk

₹ Do a Self Assessment on Data Sciences to calculate your Dream Index, which is defined as:

According to Dr T P Singh your chances of success in Data Sciences is __%

Access your personalized Dream Index Report which will have all your Dream Indices sorted in descending order.

How to get into

Data Sciences?

If you are want to get into Data Sciences, start by investing in a Career Plan.

The 14 hour process, guided by a LifePage Career Advisor, will help you introspect and check whether your interest in Data Sciences is merely an infatuation or is it truly something you wish to do for the rest of your life.

Next, your Career Advisor will help you document how you can get into Data Sciences, what education and skills you need to succeed in Data Sciences, and what positives and challenges you will face in Data Sciences.

Finally, you will get a Career Plan stating which Courses, Certifications, Trainings and other Items you need to do in the next 7 years to become world’s best in Data Sciences.

LifePage Career Plan

14 hour personalized guidance program

Your LifePage Career Advisor facilitates your guided introspection so that you systematically explore various Career options to arrive at a well thought out Career choice.

Next: your Advisor helps you figure out how you will get into your chosen Career and how will you develop the skills needed for success in your Chosen Career.

LifePage Plan will not stop at saying "to become an Architect study Architecture". It will guide you on which Certifications, Trainings and Other items you need to do along with your Architecture education to become the world's best Architect.

Links for this Talk

Professor Dr T P Singh's LifePage:

[LifePage]
https://www.lifepage.in/page/tpsingh

LifePage Career Talk on Data Sciences

[Career]
https://www.lifepage.in/careers/data-sciences

[Full Talk]
https://lifepage.app.link/20181211-0001

[Trailer]
https://www.youtube.com/watch?v=FAnaqlss4XY

(Data Sciences, Dr T P Singh, UPES, Professor, Scientist, Mining, Researcher, Mathematics, Statistics, Information Science, and Computer Science, IOT, R, Hadoop, Pig, Hive, Data Analytics, Analyst, Data Analysis, Business Analytics, Big Data)

Similar Talks

Decision Management

Kapil Rawat
Business Analyst | G E Corp, Bangalore

[ 3 years & 2 months Experience ]

Use of computers allows organizations to collect enormous amount of data. Decision Management is tasked with analyzing this data to help take smarter business decisions. These decisions can comprise of anything and everything, like which advertisement to show to a particular user on Facebook or which credit card defaulters to call and when.

"After M A in Economics from JNU, I started my career as a Business Analyst with G E Corp in Bangalore. In my almost two years there I was responsible for making data based collections strategies for two large US retailers with several million defaulting buyers."

Actuarial Profession

Romik Rai
Risk Officer | Ageas SA/NV

[ 9 years Experience ]

An Actuary is a business professional who deals with the measurement and management of risk and uncertainty. These risks can affect both sides of the balance sheet, and require asset management, liability management, and valuation skills. Actuaries use mathematics, statistics, and financial theory to study uncertain future events, especially those of concern to insurance and pension programs.

"After completing my Masters in Actuarial Studies from University of New South Wales, Australia, I started working as a consultant with Watson Wyatt Worldwide. I have worked with over 20 financial institutions across Europe and Asia. Currently, I am the Founder and CEO of Greenassets.in which I started in 2015 in India. Greenassets.in is a startup where we promote investments which have a positive environmental and social impact."

Data Analysis

Sunaina Kuhn
Senior Associate | Evaldesign

[ 3 years & 4 months Experience ]

Data analysis, also known as analysis of data or data analytics, is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making.

"After completing my Schooling from Woodstock, I did BA in Political Science from Purdue University. I taught Business English for a year in Budapest. After that I joined Teach for India. I also worked as a Research Associate in IIM, Ahmedabad. I have been working as a Senior Associate at Evaldesign since 2015."

Planning & Statistics

Dr Manoj Pant
Chief Coordination Officer | Department Of Planning

[ 25 years Experience ]

Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data. Statistics in indispensable into planning in the modern age which is termed as the age of planning. Almost all over the world the govt. are re-storing to planning for economic development.

"I completed my MSC in Statistics from Lucknow University. I did my PG Diploma in Computer Application. I joined Department of Planning as Chief Coordination Officer."

Data Science

Rajan Gupta
Analytics Consultant | Various Assignments

[ 7 years & 4 months Experience ]

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining.

"I am a Research & Data Analytics professional, learning new ways to deal with various business and research problems through technological and analytical tools. With the help of past experiences and academic exposure, following are the highlights of current capabilities. I have a substantial experience of working on research & analytics projects in the area of Information Systems, E-Governance and Public Schemes Assessment. I have working knowledge of application of various data science concepts through statistical techniques, operation research & optimization, data mining and machine learning across multiple industries (healthcare, retail, education, etc.) and domains. I have hands-on experience of using various analytical & development tools like SPSS, R, Tableau/MS Power BI and MATLAB and exposure of training and teaching in specialized areas of IT & Analytics. I am UGC NET-JRF Qualified and also possess management consulting certification from Government of India. I am one of the few Analytics professional in India to have CAP (INFORMS) and GStat (ASA) certification & accreditation, respectively and also serving as the Brand Ambassador of CAP in Asia Region for INFORMS. I am Efficient in Report preparation and Article writing. I can prepare Research proposals, Research Frameworks, Data Source identification, Data Collection Framework and Data Preparations. I have experience of handling teams up to 50 people for project execution."

Risk Analytics

Malika Davar
Senior Consultant | BFSI Analytics

[ 5 years & 10 months Experience ]

Risk analytics (or risk analysis) is the study of the underlying uncertainty of a given course of action. It often works in tandem with forecasting professionals to minimize future negative unforseen effects.

"I pursued a Bachelors degree in Economics from St Stephen's College and a Masters degree in Economics from Delhi School of Economics. Soon after, I joined BFSI Risk Analytics where I have been working for more than 4 years. Currently, I am working there as a Senior Consultant."

Data Analytics

Pratap Shankar Gharge
Executive President & CIO | Bajaj Electricals

[ 34 years & 2 months Experience ]

Data analytics or analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making

"After completing my graduation from Shivaji University, Diploma in Computer Management from Mumbai University and an MBA (Operations Research) from IGNOU, I started my career with Simplex Textile Mills as a Programmer (1984-85) and post that I was associated with Bajaj Electricals for 33 Years and retired as an Executive President & Chief Information Officer."

Data Science & Statistics

Raman Nautiyal
Scientist E | Indian Council of Forestry Research & Education (ICFRE)

[ 20 years & 10 months Experience ]

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining. Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data.

"I did Bachelors in Statistics, Maths & Economics from DAV College, Dehradun. I then did Masters in Statistics from the same college. I am pursuing my Ph D in Statistics from Kumaon University. I am a Scientist E at Indian Council of Forestry Research & Education (ICFRE)."

Data Science

Aayushi Verma
Data Scientist | EdGE Networks Pvt Ltd

[ 5 years Experience ]

Data science is a multidisciplinary blend of data inference, algorithmm development, and technology in order to solve analytically complex problems. At the core is data. Troves of raw information keep streaming in and stored in enterprise data warehouses as there is much to learn by mining it.

"After completing my M Tech in Data Analytics, I joined a start-up in Delhi as a Data Scientist. After that I have worked for few companies as a Data Scientist, in 2018, I joined EdGE Networks Pvt Ltd as Data Scientist. I have also published few Research Papers in Journals like IEEE & Springer."

Economics & Finance Consulting

Manmeet
Consultant | Planning Commission of India

[ 7 years Experience ]

Economic consulting is the practice of providing organizations in the public and private sector with information to improve their performance and policies, primarily through the use of applied economics, mathematical economics, economic impact analysis, and forecasting across a broad spectrum of issues.

"After graduating in commerce, I went on to do masters in Economics. I also attended winter school in Delhi School of Economics. I have done a course in management from London School of Economics. I did my internship at Planning Commission of India. I have worked at RMS as Business Risk Analyst and as Risk Management Consultant at Inductis. I am Strategy & Operations Head at Nuts for Cuts."

Research in Data Science

Aayushi Verma
Data Scientist | EdGE Networks Pvt Ltd

[ 5 years Experience ]

Research in Data Science, which is a profession, the goal of Data Science research is to build systems and algorithms to extract knowledge, find patterns, generate insights and predictions from diverse data for various applications and visualization.

"After completing my M Tech in Data Analytics, I joined a start-up in Delhi as a Data Scientist. After that I have worked for few companies as a Data Scientist, in 2018, I joined EdGE Networks Pvt Ltd as Data Scientist. I have also published few Research Papers in Journals like IEEE & Springer."

Risk Analytics

Shobit Kumar Singhal
Assistant Manager | Barclays

[ 2 years Experience ]

Risk analysis is the process of identifying and analyzing potential issues that could negatively impact key business initiatives or critical projects in order to help organizations avoid or mitigate those risks.

"After completing my education, I joined Barclays as senior analyst and I am working as an Assistant Manager at Barclays."