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Certificate Course in

Pharma Analytics

Become an expert in Pharma Analytics with ‘Certification Course in Pharma Analytics’. Boost your career in the space of pharma and life sciences with Statistical Analysis, Machine Learning, Predictive Analytics, and many more.
  • Get Trained by Trainers from ISB, IIT & IIM
  • 24 Hours of Intensive Classroom & Online Sessions
  • 20 Hours of Free Python Programming Videos
  • Get Quiz Questions and Use Cases
Pharma Analytics course - 360digitmg
461 Reviews
Pharma Analytics course reviews - 360digitmg
2060 Learners
Academic Partners & International Accreditations
  • Pharma Analytics course certification with Microsoft
  • Pharma Analytics course certification certification with NASSCOM certificate
  • Pharma Analytics course certification with INNODATATICS certificate
  • Pharma Analytics course certification with TUV
  • Pharma Analytics course certification with SUNY
  • Pharma Analytics course certification with NEF

"The size of the Pharma Analytics industry in India is 2 billion USD in revenue while the global Pharma Analytics market is expected to grow to 11.5 billion USD by 2023." - (Source). The Pharma Analytics market size is around $ 1.5 billion in terms of annual revenue. From algorithmic high-frequency trading to payment wallets or P2P lending every aspect of the Pharma services market is infused with analytics technology. Pharma Analytics Course enables evidence-based rather than intuition-based decision making. With the help of advanced analytics, businesses can identify future markets and avenues for greenfield ventures. Statisticians can develop strategic pricing models to boost revenue growth. The rumble in pharma sector has led to a surge in the requirement for Pharma Analytics Course professionals in our country. Most Pharma companies are moving up the value chain with the help of savvy analytics professionals.

Pharma Analytics

Program Cost

INR 18,000/-

Overview of Pharma Analytics Course

The Certificate course in Pharma Analytics is a 24 hour program and its main aim is to firmly reinforce concepts of Mathematics, Statistics, and profitability while introducing the students to the Healthcare system and Pharma market understanding, Analytics in Pharmacovigilance/Drug Safety and Risk Management, Pharmaceutical market research & forecasting, Epidemiology analysis, Portfolio Analysis, and Pricing analysis, Sample Collection Time Schedule Planner, DNA Sequencing Classifier, Patient Follow-ups, Forecasting and NLP in the pharmaceutical industry. This is the best course for all the tech and life sciences enthusiasts that are looking forward to making a stellar career in the pharmaceutical industry.

Learning Outcomes of Pharma Analytics Course

The certificate course in Pharma Analytics is a 24 hours program that specializes in all the trending and current tools that are needed to solve the challenges faced in the job. Graduates in pharmacy and life sciences, medical professionals, biotech and bio-medical graduates, research fellows from pharma, IT, and clinical industry, and decision- making professionals from the pharma industry have an added benefit with this course. Additional to the traditional knowledge Students will have hands-on experience with assignments and live projects. The course contains multiple applied case studies that give students a good idea about the challenges they will be facing in the work environment and how these business problems can be solved for improving the profitability of their companies. Pharma Analytics processes humongous data into actionable insights all through the process of manufacturing. Using these insights pharmaceutical companies can optimize their profit.

Pharma and life sciences Sector Overview
Understand various Analytics Models in the space of Pharma
Get acquainted with Pharma Securities Analytics
Pharmaceutical market research & forecasting
Develop an understanding of descriptive and predictive analytics
Apply data-driven, machine learning approaches for business decisions
Applications of Analytics in Pharmacovigilance/Drug Safety and Risk Management
Use data visualisation concepts to represent data for easy understanding
Block Your Time
Pharma analytics course - 360digitmg

24 hours

Classroom Sessions

Pharma analytics course - 360digitmg

20 hours

Python Programming Videos

Who Should Sign Up?

  • Graduates in Pharmacy and Bio-Sciences
  • Medical Professionals i.e., Doctor across various specializations
  • Graduate in Bio-Technology and Bio-Medical
  • Junior professionals in Pharmaceutical industry, IT Industry and Clinical Research Organisations
  • Decision Makers working for Pharma Companies

Modules of Pharma Analytics Certification Course

The introductory module of this course contains a description of basic terminologies in the pharmaceutical domain. The core applications of Data Analytics in Drug discovery & research, Manufacturing processes, Personalized medicine, etc, are discussed. Students will solve Linear Programming problems using Simplex techniques. The use of Data Science in the Pharmaceutical industry is not just restricted to drug discovery, formulation, or clinical trials. Pharmaceutical companies also use data science to market their products. Unlike yesteryears when a medical representative used to visit doctors personally to market their products, at least 25% of the marketing today is delivered over a digital platform. Understand the concepts of Machine learning implementation in pharmaceutical research, Portfolio analysis, and Risk Management. The features of pharmacovigilance and four methods are discussed. Students learn to perform epidemiology analysis. Apply unsupervised learning ni DNA sequencing is also discussed.

How we prepare you
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Pharma Analytics Course Panel of Coaches

Artificial Intelligence & Deep Learning Course Training -360digitmg

Bharani Kumar Depuru

  • Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
  • Over 18+ years of professional experience
  • Trained over 2,500 professionals from eight countries
  • Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Read More >
Artificial Intelligence & Deep Learning Course Training -360digitmg

Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data
  • Trained over 1,500 professional across 12 countries
  • Worked as a Data scientist for 18+ years across several industry domains
  • Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library
  • Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, Python, Tableau, Cognos
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more
Read More >
Artificial Intelligence & Deep Learning Course Training - 360digitmg

Bhargavi Kandukuri

  • Areas of expertise: Business analytics, Quality management, Data visualisation with Tableau, COBOL, CICS, DB2 and JCL
  • Electronics and communications engineer with over 19+ years of industry experience
  • Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
  • Trained over 750+ professionals across the globe in three years
  • Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst
Read More >
Pharma analytics course certification - 360digitmg


Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognized at the workplace and boost your confidence. The Data Science in Pharma Certificate is your passport to an accelerated career path.

Alumni Speak

Pavan Satya

"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”

Pavan Satya

Senior Software Engineer

Chetan Reddy

"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."

Chetan Reddy

Data Scientist

Santosh Kumar

"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”

Santosh Kumar

Business Intelligence Analyst

Kadar Nagole

"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”

Kadar Nagole

Data Scientist

Gowtham R

"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”

Gowtham R

Data Engineer

Wan Muhamad Taufik

"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”

Wan Muhamad Taufik

Associate Data Scientist

Venu Panjarla

"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”

Venu Panjarla

AVP Technology


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FAQs for Pharma Analytics Training

This Pharma analytics course just assumes some basic computer familiarity and analytical mindset. It definitely helps if the learner has some background in Pharma data, SQL and Programming languages such as Python and R. Knowledge of Pharma industry is expected for better understanding.

Different organisations use different terms for data professionals. You will sometimes find these terms being used interchangeably. Though there are no hard rules that distinguish one from another, you should get the role descriptions clarified before you join an organisation.

With growing demand, there is a scarcity of data science professionals in the market. If you can demonstrate strong knowledge of data science concepts and algorithms, then there is a high chance for you to be able to make a career in this profession.

360DigiTMG provides internship opportunities through Innodatatics, our USA- based consulting partner, for deserving participants to help them gain real-life experience. This greatly helps students to bridge the gap between theory and practical.

This course is specifically catered to learners intending to either begin or advance their careers in the pharma industry.

In the field of pharmaceuticals, you can expect to be exposed to topics such as drug development, clinical trials, regulatory compliance, quality control, supply chain management, and pharmacovigilance.

There are plenty of jobs available for data professionals. Once you complete the training, assignments and the live projects, we will send your resume to the organisations with whom we have formal agreements on job placements.

We also conduct webinars to help you with your resume and job interviews. We cover all aspects of post-training activities that are required to get a successful placement.

After you have completed the classroom sessions, you will receive assignments through the online Learning Management System that you can access at your convenience. You will need to complete the assignments in order to obtain your data scientist certificate.

You will be attending 16 hours of classroom and/or virtual instructor-led sessions. After completion, you will have access to the Learning Management System for three months for recorded videos and assignments. Also you will have to spend another month after the classroom sessions to complete the live project.

If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.

We assign mentors to each student in this programme. Additionally, during the mentorship sessions, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.

No, the cost of the certificate is included in the programme package.

Jobs in the field of Pharma Analytics

Jobs in the field of Pharma Analytics

India will need 42,000 more Pharma Analytics professionals by 2022. The Pharma Analytics workforce enrolled 8991 freshers in 2020. The average work experience of Pharma Analysts in India is 7.2 years.

Salaries for Pharma Analytics

Salaries for Pharma Analytics Professionals

The average salary of Pharma Analytics professionals is Rs.10-15 lakhs per annum in India The average entry-level salary for Pharma Analytics professionals in India is less than Rs.6 lakhs.

Pharma Analytics Course Projects

Pharma Analytics Course Projects

The growing field of Pharma analytics offers a range of project opportunities, including areas such as drug utilization analysis, patient segmentation for personalized medicine, adverse event prediction, supply chain optimization, sales forecasting, and regulatory compliance analytics. These projects aim to enhance decision-making, improve operational efficiency, ensure drug safety, and drive business growth in the pharmaceutical industry.

Role of Open Source Tools in Pharma Analytics Course

Role of Open Source Tools in Pharma Analytics

Several open-source software tools are available for Pharma Analytics. They are Birt, Apache Zeppelin, Knowage, MapD, Jaspersoft Community, Knime, Metabase, Matamo, Seal Report. These are well suited to Data Analytics, Machine Learning, and Visualization.

Modes of Training for Pharma Analytics Course

Modes of Training for Pharma Analytics Course

The course in India is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both classroom and online learning. We also support e-learning as part of our curriculum.

Industry Application of Pharma Analytics Course

Industry Application of Pharma Analytics Course

Pharmaceutical companies are establishing dedicated analytics units and centers of excellence to leverage the power of data analytics and machine learning in order to drive innovation, optimize operations, and make data-driven decisions. They are capitalizing on advanced analytics solutions in areas such as drug discovery, personalized medicine, supply chain management, and regulatory compliance to achieve key business objectives and unlock new opportunities in the pharmaceutical industry.

Companies That Trust Us

360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.


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