Scallio Digital Academy

Best Data Science Course in Kolkata

Best Data Science Course Kolkata| Data Analytics Program

  • Acquire Certified Data Science Training
  •  Learn from professionals in the field.
  • Advanced Data Science Training in the Classroom and Online
  • 5+ Lively projects
  •  100% training focused on careers
  • Work Experience and Placement Support
Data Science

Elevate your career today with Kolkata’s Scallio Digital Academy’s Advanced Data Science course, the most sought-after skill of the 21st century. Our personalized mentoring and career guidance ensure your success.

  • The future of artificial intelligence lies in data science. Start your adventure into data science right away! You can follow along with this course and learn about Python’s data science capabilities even if you have never written a line of code in your life.
  • Data will be used to help you become comfortable with the fundamentals of Python grammar as well as well-known data science modules like Pandas and Matplotlib (for tabular data and charts, respectively).
  • Industry experts will instruct you in data analytics, data modeling, business analytics, and machine learning approaches at Scallio Digital Academy in Kolkata.
  • Every subject covered in our Data Science and Analytics Bootcamps is covered in this curriculum. The boot camp teaches students everything they need to know and covers several crucial facets of the field.
  •  Develop your skills in data extraction while learning about predictive modeling, storytelling, cloud-based model deployment, and data visualization.
  • With a personal data science project, you will apply the recently discovered ideas and put them into practice.
  • To help you become ready for either an advanced career or further study in data science, learn important data science methodologies. The module is carefully chosen by industry professionals to prepare you for the workplace and ultimately help you develop a successful career in this rapidly expanding field.

What is Data Science?

Data science involves analyzing vast volumes of structured and unstructured data to uncover patterns and extract valuable insights. It’s an interdisciplinary field that encompasses statistics, inference, computer science, predictive analytics, machine learning algorithm development, and innovative tools for understanding large datasets.

 What makes this Course immensely significant is its versatility. It finds applications in everyday activities like using voice assistants such as Siri or Alexa for recommendations, as well as in complex endeavors like enabling autonomous driving.

The realm of this course comprises computation, statistical analysis, inference, machine learning algorithms, predictive modeling, and cutting-edge technologies, making it a truly multidisciplinary domain.

Major Tools and Programming Languages used in Data Science



 Mathematics and Statistics  


Data Visualizations  


Spark, SQL, NoSQL


Why Learn Data Science and Scope of Data Science

As per IDC, global data is projected to skyrocket to a staggering 175 zettabytes by 2025. The power of Data Science lies in its ability to help businesses decipher this vast data landscape, extracting invaluable insights for smarter, data-driven decision-making. This versatile discipline finds applications across diverse industries such as marketing, healthcare, finance, banking, policy-making, and more, underlining its indispensable role.

The US Bureau of Labor Statistics anticipates the creation of 11.5 million new jobs in Data Science by 2026. According to the World Economic Forum, data scientists are poised to become the most sought-after professionals globally.

Indeed, Data Science currently stands as one of the most coveted job roles in today’s job market. Companies are rapidly recruiting data experts due to their ever-increasing reliance on data-driven strategies.

Data Science Expert and its Application in Different Sectors

  • Healthcare: To ensure their patients’ wellbeing and make important decisions, doctors in the healthcare industry use data science to analyze data from wearable trackers. Hospital administrators may also employ data science to shorten wait times and enhance care.
  • Retailers employ data science to enhance consumer satisfaction and loyalty.
  • Data science is widely applied in the banking and finance sectors for fraud detection and individualized financial advise.
  • Data science is used by transportation businesses to enhance the travel experiences of their customers. For instance, Transport for Google Maps client journeys, offers specialized transportation information and manages unanticipated circumstances using statistical data.
  • By tracking activities like the typical time spent on work, material-related expenditures, and other metrics, construction companies employ data science to improve decision-making.
  •    Manufacturing Data Science will gather vast amounts of manufacturing-related data that haven’t been studied up to this point and use it to understand what is happening throughout production.
  • Analyzing vast volumes of graphical data, temporal data, and geographic data can provide insights from data science. Additionally, it helps with reservoir characterization and the interpretation of seismic data.
  •  Businesses can now use social media data to identify current patterns in the consumption of media assets thanks to data science. Businesses can then track the success of that content and recommend on-demand content by creating content specifically for target groups.
  • This course helps with utility usage research in the energy and utility sectors. The research advances client feedback and utility usage control.
  • Data science is used in the public sector for a variety of purposes, including health-related research, financial market analysis, fraud detection, energy exploration, and environmental protection.

Scope of Data Science in India

In today’s IT business, professionals are in high demand. The following are a few roles connected to data science:

  • Data Scientist
  • Machine Learning Engineer
  • Data Engineer
  • Statistician
  • Data Analyst

Data Scientist

Data Scientists are responsible for crafting data modeling procedures to develop algorithms and predictive models, conducting specialized analyses. They proficiently handle supervised and unsupervised learning techniques, including tasks like data regression, data classification, and working with neural networks. Data Scientists also excel in data preparation and cleansing, interpreting and visually representing data for in-depth analysis, and providing technical data summaries.

Data Engineer

The infrastructure that data scientists will employ for analysis is created by data engineers. They work with enormous amounts of data. Since they build, manage, and create all of the Big Data, they are in command of it.

Data Analysts

Data Analysts are expert professionals who work directly with data. Their role involves transforming data into easily understandable formats through statistics and visual representations. Data Analysts clean, scrutinize, and visualize data to provide valuable insights.

Machine Learning Model Development

The development of machine learning models is largely the responsibility of machine learning engineers. They are in charge of everything, including model development, deployment, and even problem-solving.


They employ statistical techniques and theories to meticulously study and analyze data. This relevant data serves as a catalyst in aiding companies to enhance their business operations.

Top Employers of Data Scientists

In India, the leading companies seeking Data Scientists are Mu Sigma, Accenture, and Tata Consultancy Services Limited. AWS (Amazon Web Services) offers the most competitive salaries. Additionally, Accenture and HCL Technologies Ltd. offer attractive remuneration for this role.

Eligibility for Data Science Training at Scallio Digital Academy

data science kolkata

Enrollment at Scallio Digital Academy in Kolkata is open to individuals eager to delve into Data Science, regardless of their experience level. Data Science holds value for engineers, marketing professionals, software developers, and IT experts alike. The minimum requirement for our Data Science courses is a high school-level education.

Broadly speaking, Data Science combines mathematical, computational, and statistical concepts. While we welcome all, students with bachelor’s degrees in STEM fields (science, technology, engineering, or mathematics) gain a deeper grasp of the subject matter.


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Advance Data Science Course Syllabus

Section 1
  •  Introduction to Programming
  • History of Computers
  •  Understanding Hardware
  • Writing First Program (“Hello World”)
  • Variables & Data Types
  • Strings, Integers, Integers, Floats, Boolean, etc.
  • Assigning Variables
  • Operators
Section 2
Section 3
Section 4
Section 5

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Why Data Science Training Course From Scallio Digital Academy?

Scallio’s Training Advantage

  • Engage in Highly Interactive Live Online Classes with LMS Support

Experience real-time classes led by our dedicated instructors, adhering to fixed batch timings.


  • Enjoy a Classroom-Like Experience

Receive prompt answers to your queries from our instructors in real-time, ensuring a classroom-like learning environment.


  • 24*7 Trainer Support

Stay connected with our expert faculty members around the clock, as you become a part of our National Batch, readily available to address any doubts or concerns.


  • Our Proven Experience and Accomplishments

With over 10 years of invaluable corporate experience, we have successfully trained more than 50,000 certified professionals, showcasing our commitment to excellence in education.

FAQs: Data Scientists

Answer: While a master’s degree can be beneficial, it’s not always essential for a career in Data Science. Many professionals in the field have undergraduate degrees and relevant certifications. What’s more important is your skills and experience.

Answer: Data Scientists can earn competitive salaries. Salaries vary based on factors such as experience, location, and industry. On average, they can earn a substantial income, often well above the national average.

Answer: The course duration depends on the specific program you choose. Generally, Data Science courses can range from a few months to a year or more. Upon successful completion, you will typically receive a certificate, validating your skills and knowledge.

Answer: With an ADS (Advanced Data Science) Certification, you can apply for a range of job roles, including Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, Data Engineer, and, of course, Data Scientist. The specific role will depend on your skills and interests.

Answer: Job placement guarantees can vary by institution. It’s essential to inquire with the training provider about their placement assistance and policies. While some institutions may offer placement support, it’s ultimately your skills and efforts that will secure a job.

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