- by Handson
- June 14, 2025
SAS Programmer Interview Questions and Answers (Company-Wise)
Coverage for freshers to experienced candidates—Clinical and Non-Clinical tracks Company-wise insights including TCS, IQVIA, GSK, Novartis, EY, Labcorp, Syneos, Infosys, Accenture, Cognizant, and more
- by Team Handson
- June 14, 2025
Is SAS Dying in 2025? The Truth You Must Know Before Choosing Your Analytics Career
Is SAS really dying in 2025? Not quite. SAS still dominates in pharma and regulated industries. Discover the truth before planning your analytics career path.
- by Team Handson
- June 13, 2025
Neurotechnology and Brain-Computer Interfaces (BCIs): The Future of Human-Machine Synergy
Discover how Neurotechnology and Brain-Computer Interfaces (BCIs) are shaping the future of human-machine interaction. Explore the innovations enabling direct communication between the brain and external devices, revolutionizing healthcare, accessibility, and AI integration.
- by Team Handson
- June 12, 2025
Top Skills Recruiters Want for Data Science Jobs in 2025
Discover the top data science skills recruiters seek in 2025, from Python to AI to domain expertise. Stay job-ready in a competitive tech market.
- by Team Handson
- June 11, 2025
Clinical SAS Job Roles and Market Opportunities
Discover top job roles, skills, and career opportunities in Clinical SAS programming with insights into industry demand and global market trends.
- by Team Handson
- June 4, 2025
Understanding SDTM, ADaM, TLF, FDA, and CDISC in Clinical Research with Real-Life Examples – A Beginner’s Guide to SAS Applications in the Pharmaceutical Industry
This beginner-friendly guide explores key concepts in clinical research—SDTM, ADaM, TLF, FDA, and CDISC—while demonstrating how SAS is applied in the pharmaceutical industry. With real-life examples, it simplifies complex standards and processes crucial for clinical trial data submission and regulatory compliance.
- by Handson
- May 12, 2025
How to Build Machine Learning Models: A Beginner-Friendly Guide to Start Your ML Journey
In a world increasingly run by data, machine learning model building is one of the most in-demand skills across industries. Whether it’s recommending your next favorite show, detecting fraudulent transactions, or predicting loan defaults, machine learning models power modern decision-making.
- by Handson
- May 12, 2025
Predictive Analytics Training: A Career-Defining Skill for the Data-Driven Future
In today’s fast-paced, data-saturated world, making decisions based on gut feeling is no longer enough. Businesses are turning to predictive analytics to anticipate customer behavior, streamline operations, and stay ahead of the competition.
- by Handson
- April 22, 2025
Understanding Placement Assistance: What It Is and How It Differs from Assurance and Guarantee
In today’s competitive job market, education providers and training institutes often highlight their “placement assistance” as a key feature of their programs. For students and job seekers, it's important to clearly understand what placement assistance really means, how it works, and how it differs from terms like placement assurance or placement guarantee. This clarity helps manage expectations and avoid misleading claims.
- by Handson
- April 22, 2025
Internship Opportunities in Clinical Research and Life Sciences Across India
India’s pharmaceutical, biotech, and healthcare analytics sectors are evolving at a rapid pace.
- by Handson
- April 17, 2025
Do Clinical SAS Courses Guarantee Jobs? Here’s the Truth + Tips to Land Your First Role
For fresh graduates and aspiring programmers, the big question remains: Do clinical SAS courses guarantee jobs? The answer, in short, is no course can truly guarantee a job—
- by Handson
- April 17, 2025
How to Become a Clinical SAS Programmer in 2025: Career Path, Skills & Growth
Wondering how to become a Clinical SAS programmer in 2025? This guide covers the complete career path, essential skills, certifications, and how to launch a successful clinical SAS career in the growing field of clinical research.
- by Handson
- April 17, 2025
What Is Clinical SAS? A Beginner’s Guide to Launching a Career in Clinical Research Programming
Curious about Clinical SAS? This beginner’s guide explains what Clinical SAS is, why it's crucial in clinical research, and how to start your career with Base SAS programming, global certifications, and hands-on training.
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- by Handson
- April 17, 2025
5 Common Myths About Clinical SAS (And What the Industry Really Wants)
Discover the top 5 myths about Clinical SAS that every aspiring programmer should know. Learn why starting with Base SAS is essential, what the industry truly expects, and how to build a successful career in clinical research programming.
- by Handson
- April 8, 2025
Why Pharma Companies Prefer SAS Over R or Python for Regulatory Submissions
Discover why pharmaceutical companies rely on SAS over R or Python for clinical trial data analysis and regulatory submissions.
- by Handson
- April 5, 2025
Can Pharmacovigilance and Pharmaceutical QA Professionals Find Employment in Clinical SAS?
Discover how pharmacovigilance and Pharmaceutical QA professionals can seamlessly transition into high-paying Clinical SAS roles.
- by Handson
- March 27, 2025
Generating TLF (Tables, Listings, and Figures) in SAS for Clinical Trial Reporting
This SAS project demonstrates the creation of Tables, Listings, and Figures (TLF) for clinical trial reporting. It includes data preparation, ADaM dataset creation, demographic summaries, adverse event listings, and graphical representation using the WORK library. This serves as a foundation for clinical SAS programming in regulatory submissions.
- by Handson
- March 25, 2025
Base SAS Global Certification (A00-231) Practice Test
This Base SAS Global Certification (A00-231) Practice Test includes multiple-choice questions covering key topics such as SAS programming basics, data manipulation, PROC steps, SQL, macros, and error handling. Designed to help you prepare for the certification exam, these questions test your knowledge of reading and writing data, using functions, debugging code, and applying essential SAS procedures.
- by Team Handson
- March 24, 2025
SAS Clinical Programmer Resume Examples & Guide for 2025
In the competitive field of clinical research and pharmaceutical analytics, a well-crafted resume can set you apart.
- by Team Handson
- March 22, 2025
Comprehensive Clinical SAS Data Management Project: Oncology Data Analysis
Clinical Data Management (CDM) is a crucial aspect of clinical trials, ensuring data accuracy, consistency, and regulatory compliance.
- by Team Handson
- March 22, 2025
Clinical SAS Jobs: Where to Find Open Positions in 2025
Discover the best platforms and strategies to find Clinical SAS job openings in 2025. Start your career in Clinical Data Management today!
- by Team Handson
- November 18, 2024
Most Common Data Science Interview Questions and Answers
Interviewing for a data scientist position can feel intimidating, but preparation is your secret weapon.
- by Team Handson
- November 18, 2024
How to Prepare for the PMP Exam
The PMP exam isn’t fair almost memorizing facts—it’s around applying venture administration standards to real-world circumstances.
- by Team Handson
- November 8, 2024
A Step-by-Step SQL Tutorial for Beginners
SQL stands for Structured Query Language. It’s used to interact with databases—basically, systems that store data in an organized way.
- by Team Handson
- November 8, 2024
Best Clinical SAS Courses in India
Clinical SAS is everywhere in clinical trials, particularly in the pharmaceutical industry. Whether you’re handling clinical trial data, making sense of complex statistics, or creating reports for regulatory bodies, SAS is one of the go-to tools.
- by Team Handson
- November 7, 2024
How to Prepare for the PMP Certification Course
PMP is a game-changer for undertaking supervisors, opening up openings for higher pay, career progression, and superior work prospects.
- by Team Handson
- October 25, 2024
Top 10 Benefits of Getting PMP Certification in 2024
Earning a PMP certification in 2024 offers numerous benefits, including global recognition, higher earning potential, and enhanced career opportunities.
- by by Team Handson
- August 30, 2024
Comprehensive Credit Risk Assessment Using Advanced Machine Learning Techniques
Credit Risk Assessment Using Advanced Machine Learning
- by by Team Handson
- August 30, 2024
Industry-Grade Analysis of Clinical Trial Data Using Base SAS and Advanced SAS Techniques
Clinical Trial Data Using Base SAS and Advanced SAS
- by by Team Handson
- August 30, 2024
Discover the Best SAS Training Institute for Your Career Advancement
Best SAS Training Institute for Your Career
- by by Team Handson
- August 26, 2024
SAS vs. Python: Which Should You Learn First for a Career in Analytics?
A Guide to Choosing the Right Programming Language for Your Analytics Career.
- by Handson
- May 23, 2024
Generative AI (GenAI) is a powerful tool.
The article emphasizes the need for responsible innovation in GenAI. By working together, we can ensure this powerful technology is used for good. Generative AI (GenAI) is a powerful tool. with vast potential, but it also comes with ethical challenges.
- by Handson
- May 17, 2024
Data Science "Pay After Placement"
The world of Data Science beckons with lucrative salaries and exciting career prospects. "Pay After Placement" (PAP) programs seem like the perfect gateway, eliminating upfront costs. But before you dive in, let's peel back the layers and see if the reality matches the promise.
- by Handson
- March 6, 2024
Placement Assistance
Placement assistance programs can be a valuable tool in your career arsenal. However, approach them with a healthy dose of skepticism and focus on programs that prioritize your development as a competitive candidate, not just job placement guarantees. Your success ultimately hinges on your skills, experience, and proactive job search strategy.
- by Handson
- March 6, 2024
Clinical SAS Project
The MNC is conducting a global Phase III clinical trial for a new drug and requires real-time insights from clinical data across diverse geographical locations.
- by KK
- March 5, 2024
HR Interview: A Comprehensive Guide
The Human Resources (HR) interview is often the final hurdle between a job seeker and their dream role.
- by KK
- March 5, 2024
Professional Cover Letter with sample template
A cover letter is your chance to make a strong first impression on a potential employer. While your resume outlines your skills and experiences, the cover letter allows you to showcase your personality, passion, and suitability for the job.
- by KK
- March 3, 2024
Clinical SAS Interview Questions and Answers
These advanced questions cover a wide range of topics in SAS programming, including optimization, advanced statistical techniques, and their applications in clinical research settings.
- by Team Handson
- November 23, 2023
Staying Up-to-Date with the Latest Happenings and Trends in Data Science: A Guide
Data science is a rapidly evolving field that requires professionals to stay up-to-date with the latest
- by Team Handson
- May 13, 2023
Data Science CV Guide: Tips and Tricks for Crafting a Stellar Resume for Success.
In the world of data science, where talent and skills reign supreme, a well-crafted CV can be your ticket to exciting career opportunities.
- by Team Handson
- March 10, 2023
Very Often Asked Data Scientist Interview Questions and Answers
Data science is a stressful job, how do you deal with stress? Learning from my previous work experiences, I am aware that you have to work in a very stressful environment and superiors always place high
- by Team Handson
- February 16, 2023
Important FAANG Question: “Container with Most Water†with Explanation and Code
An important question asked in FAANG/ MAANG interview that is You are given an integer array height of length n. There are n vertical lines drawn such that the two endpoints of the ith line are (i, 0) and (i, height[i]).
- by Team Handson
- September 28, 2022
Data Science Interview Questions, Part -2
Discuss about the technique of sampling and its advantage? If there is a large volume of a data set then the process of data analytical process cannot be successfully completed in one time.
- by Team Handson
- September 26, 2022
Data Science Interview Questions Part: 1
Data Science Data Science is an interdisciplinary field that incorporates Physics, Mathematics, Statistics and computer Science. Data Science transformed the raw data into an ordered sequence to get the correct variable. The probable contents of Data Science are SAS, Python, R Programming, SQL, Data Visualization tool etc.
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- by Team Handson
- September 17, 2022
Artificial Intelligence Career Prospects
Artificial Intelligence(AI) is the intelligence exhibited by the machines. By acquiring intelligence, although artificial, the machines will become capable of working and reacting like humans. Today, the synthetic intelligence that exists is termed as narrow or weak AI. The longer-term objective of the researchers is to make general or strong AI with the power to perform almost every perceptive task. Alongside this, its future scope is enhancing then is that the curiosity of the individuals towards this field.
- by Team Handson
- September 16, 2022
Python, SAS or R, what you choose for Data Analytics
Data analytics is a practice of systematic evaluation of data, with the help of statistical techniques and tools such as SAS, R, Python, etc. Business analytics has become the best support for every organization.
- by Team Handson
- September 14, 2022
Clinical SAS FAQs
What is SAS Clinical Data Management? SAS (Statistical Analysis System) is a statistical software suite developed by SAS Institute for data management, advanced analytics, business intelligence, and predictive analytics. In analytics SAS is worldwide leader. SAS (Statistical Analysis System) is also extensively used in clinical trial data analysis in pharmaceutical, Bio-Technology, and clinical research organizations. SAS Clinical Data Management professional knows to standardize, analyze Clinical Data and create report( Table, Listing, Figures).
- by Team Handson
- January 9, 2025
Common mistakes while implementing IoT
4 Mistakes while implementing IoT. Security Concerns related to Technology Implementation An IoT implemented framework must be secure. The safety concerns might be any of the following:
- by Team Handson
- September 13, 2022
Data Scientist Skills for Getting Hired
In today’s era, there is plenty of data generating every day. The main aim of data science is to convert unstructured data into structured data and to highlight the main points.
- by Team Handson
- September 12, 2022
Why Base SAS Training is important ?
Why Base SAS Training is important for a Future in Big Data and Analysis? SAS Institute introduced the SAS Certified Professional Program within the year 1999 so on certify those individuals who have a correct understanding of how the SAS software works.
- by Team Handson
- September 10, 2022
A Bright and Promising Future in Data Science
Data science is often a huge subject, and one cannot cover it during a single go. On the other hand, let’s attempt to know it during a very simple and straightforward way.
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- by Team Handson
- September 8, 2022
Introduction to Analysis of Variance ANOVA
When you want to buy a new commodity how can you test its quality and how can you understand its effectiveness amongst alternatives? People experience this common scenario, as most of the alternatives seem similar to each other.
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- by Team Handson
- September 7, 2022
Data Science jobs can change your future successfully
Data science is the most alluring field today to flourish one’s career. To understand the prospect and opportunities, the field offers, and to become a competent professional in this field, read the article thoroughly.
- by Team Handson
- January 9, 2025
Essential Skills to Become a Successful Data Scientist
Data science is a diverse field that includes data analytics, data mining, Machine Learning, Deep Learning, Artificial Intelligence, and other associated subjects. It has a huge influence on the latest job market.
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- by Team Handson
- September 8, 2022
Data Science offers career opportunities
Data Science is the most lucrative career choice today as there is a high demand for data scientists in different industries across the globe. Read the article and discover amazing career opportunities, provided by this revolutionary field.
- by Team Handson
- September 10, 2022
Decision Tree: Create a perfect Decision Tree
A decision tree is a decision-making tool that shows a range of outcomes from a list of decisions. It is used as a crucial business tool for research analysis and planning strategies.
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- by Team Handson
- September 8, 2022
Reasons why you learn Data Science
In this digital world, a huge amount of data is generated every day in every field. Collecting and maintaining the data is ineffectual until they are researched or analyzed properly to reveal patterns for helping businesses make wise decisions related to their growth.
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- by Team Handson
- September 8, 2022
How to get started with Data Science
Data science is everything associated with handling the data to learn and use hidden insights for solving business problems, enhancing user experience, and making machines more correct. Now, it is a digital era.
- by Team Handson
- August 27, 2022
Python or R both are not rocket science
Rocket science resembles something very tough to understand. Python and R are not rocket science. If you are a beginner in data science with no prior knowledge in programming it will need the same effort to learn R and Python.
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- by Team Handson
- August 26, 2022
Stop wasting time and learn R-programming
R is a popular software, commonly used in Data Analytics, statistical computing, and scientific research. Statisticians, data analysts, researchers, and marketers use this language to retrieve, clean, examine, visualize, and bestow data.
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- by Team Handson
- August 25, 2022
Top Data Science interview tips in 2022
Description: How to prepare for an interview is a real challenge. If you want to explore your career in the field of Data Science, you need to be prepared perfectly to crack the interview. Here are some important tips for your convenience.
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- by Team Handson
- September 8, 2022
What does Clinical Data Management offer
Clinical Data Management is one of the robust and demanded fields, medical and pharmaceutical companies are looking for, to manage and handle their data.
- by Team Handson
- March 10, 2023
What is Clinical Data Management ?
Clinical data management is a process of handling clinical data sets to ensure compliance and accurateness. It serves several services to healthcare and pharmaceutical organizations.
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- by Team Handson
- August 22, 2022
Data Science FAQs
What is data science in simple terms? Data science is the area of the study where implementing advanced analytics methods and scientific principles to extract valuable insight from data for business decision-making, strategic planning and additional uses is studied.
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- by Team Handson
- August 20, 2022
Crack an interview on Data Science
How can I crack an interview on Data Science? Python is the widely-used software and powerful than other programming languages.
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- by Team Handson
- August 19, 2022
A Technical Overview of Machine Learning
Machine Learning is an application and a part of Artificial Intelligence. It enables computers to learn and improve performance without being explicitly programmed. It helps to develop computer programs and helps machines to learn more when exposed to new data.
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- by Team Handson
- August 18, 2022
Top 8 high-demand Tech Skills In 2022
With time, the demand of businesses has changed. Companies put more and more effort today in recruiting the right technical talents for standing against the global competition.
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- by Team Handson
- August 17, 2022
Understand and Master the Data Science
A Comprehensive Learning Path to Understand and Mastering Data Science There is a great increase in data in this generation. So, data science has become one of the most established regulations of competence.
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- by Team Handson
- August 16, 2022
Top 6 Python applications in real life
Python is a simple, energetic, and object-oriented programming language, broadly used for web application development. 90% of populace prefers Python over other scientific approaches because of its effortlessness, trustworthiness and easy interfacing nature.
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- by Team Handson
- August 12, 2022
7 Reasons for Data Analytics Training
Data analytics is a course of studying data sets using specialized systems and software to conclude the information they contain. Data analyticsÂ
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- by Team Handson
- August 11, 2022
Data Science & Analytics Training
In this digital world, a huge amount of data is generated every day in every field. Collecting and maintaining the Big Data is ineffectual until they are researched or analyzed properly to reveal patterns for helping businesses make wise decisions related to their growth
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- by Team Handson
- August 8, 2022
What is a Data Scientist? Become data scientist.
What is a Data Scientist? Who are data scientist, what they are doing and how you want to become
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- by Team Handson
- August 5, 2022
The Opportunities of Data Scientist
Before we get into What Data Scientists do, what are the fields that Data Scientist work in, we need to know what Data Science is.
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- by Team Handson
- July 29, 2022
The New ERA of Digital Marketing
We know that we are completely technology driven, but how can we make our work easier and more interesting? The digital marketing world, we know for a long time how effective digital marketing can be
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- by Team Handson
- July 27, 2022
What is Data Science? Who are data scientist?
What is analytics? What is a data scientist? “We have heaps of data – now what to do?â€
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- by Team Handson
- July 26, 2022
Introduction To Machine Learning with Python
What is Machine Learning? “The field of study that gives computers the ability to learn without being
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- by Team Handson
- July 20, 2022
What No One Tells You About Data Science
First let’s know what is Data science Data Science is one of the most evolving and promising careers for all the aspirants dreaming to work in all the renowned companies. Today
- by Team Handson
- July 18, 2022
Advanced Regression
Training Data Set can be written as following: There are total many features and many training examples...
- by Team Handson
- July 16, 2022
Multiple Linear Regression
Suppose there are k many features or predictor variables x1, x2, x3, … , xk and a target variable y. Now we want to express y as a linear combination of those predictor variables. We have a vector of features/predictors
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- by Team Handson
- July 15, 2022
Linear Regression
Regression is a procedure to determine the statistical connection between a dependent variable and one or more independent variables. The variation independent variable is related with the change in the independent variables. This can be broadly classified into two main types.1.Linear Regression, 2.Logistic Regression
- by Team Handson
- July 14, 2022
KNN- Classifier
KNN is a model that classifies data points based on the points that are most similar to it. It uses test data to make an “educated guess†on what an unclassified point should be classified as.
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- by Team Handson
- July 12, 2022
Introduction to Pandas
Pandas stand for Panel Data Library and it works very well for tabular data formats which are of very frequent occurrence in machine learning.
- by Team Handson
- September 20, 2022
Probability Theory
Probability is a mathematical description of randomness and uncertainty. It is a way to measure or quantify uncertainty....
- by Team Handson
- September 20, 2022
Exploratory Data Analysis
Exploratory Data Analysis (EDA) is used to summarize the data we have gathered in a meaningful way.
- by Team Handson
- September 20, 2022
The Best Digital Marketing strategies for SMEs
Today there are many ways to advertise small business, although for this it is essential
- by Team Handson
- September 20, 2022
Artificial Neural Networks: What they are and how it works
In this writing we will explain what a neural network is, how it works and the concept behind it.
- by Team Handson
- September 20, 2022
SQL vs NoSQL: Differences, Uses, advantages and disadvantages:
To do the work that Data Analysts, Data Scientists and Data Engineers do, require data. Thus, Database management is the foundation stone of all work in this arena
