Data Science

Data Science is a field that involves using statistical and computational methods to extract insights and knowledge from data.

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Data Science is a field that involves using statistical and computational methods to extract insights and knowledge from data. It combines various disciplines, such as statistics, mathematics, computer science, and domain-specific knowledge, to analyze and interpret complex data sets.

The main objective of data science is to generate actionable insights and solutions from data that can be used to inform business decisions, scientific research, or social policies. Data scientists work with data in different formats, such as structured or unstructured data, and employ various techniques, including data mining, machine learning, and artificial intelligence, to uncover patterns and relationships in the data.

In addition to technical skills, data scientists need to possess strong analytical and problem-solving skills, communication skills, and domain-specific knowledge to effectively communicate insights to stakeholders. The applications of data science are widespread and can be found in various fields, such as finance, healthcare, marketing, and social sciences.

Data Science is an interdisciplinary field that uses statistical and computational methods to extract insights and knowledge from data. It involves various stages such as data acquisition, data preparation, data analysis, and data visualization to provide useful insights.

The main goal of data science is to identify patterns and insights in large datasets that can be used to make better decisions or improve existing systems. Data scientists use a variety of statistical and computational techniques, including machine learning, data mining, and predictive analytics, to uncover hidden patterns and relationships within data.

Data Science also involves data visualization, which helps to communicate insights and trends effectively to stakeholders. Visualizations can take many forms, including charts, graphs, and interactive dashboards.

The applications of Data Science are widespread and can be found in various fields, including healthcare, finance, marketing, and social sciences. Data Science can be used to optimize business operations, improve healthcare outcomes, and create new products and services. It has become an essential part of modern business and research, and its demand is expected to continue to grow in the coming years.

  • More than 55% of IT industries have been shifted to the cloud space and the numbers are expected to increase by over 25% in the future. And it has been predicted by Forbes that more than 80% of Enterprise Workloads will efficiently be handled through cloud technologies.
    • Unlike different disciplines, the salary of a Data Science professional is usually 30 percent higher.

      At the beginner level, you can earn up to $113K per annum.

      Even with less than one year of experience, you will make around Rs.4, 80,000 in a year.

  • Data Science certified are high in demand and gaining significant traction in the US and Canada. People with years of experience can earn maximum of Rs. 1,800,000 per annum.

  • No matter whether you are a fresher or an experienced professional, our Data Science course will help you gain the relevant skills you required. If you are looking to start a career in the field of cloud, we will help you gain all essential skills and let you clear the global certification examination, too.
    • Establish yourself as a certified Data Science professional and get hired by leading IT industries.

      Clear the interview and gain all essential technical and communication skills.

      Get a more than 30 percent hike in salary as a certified professional.

  • On the course completion, attempt the Data Science exam and clear it in the first attempt as we assure 100% clearance rate for our students.

  • There’s no denying that Data Science now become the future in today’s tech-dominating landscape. As most of the industries are aggressively adopting the best Data Science solutions, the demand for skilled Data Science professionals has been increased worldwide.
  • The reasons behind the popularity of Data Science are as follows:
    • A multitude of career benefits as an Data Science professional

      In-demand Data Science skills

      Placement Assistance

      Beyond expected salaries

      Best-in-class course content curated by leading industry practitioners.

The job roles and responsibilities of a data science professional can vary depending on the industry and the specific organization. However, some common job roles and responsibilities include:

  • Data collection and analysis: Gathering and organizing large datasets, identifying patterns and trends in the data, and performing statistical analysis.
  • Machine learning and modeling: Developing machine learning models and algorithms to make predictions and generate insights.
  • Data visualization and communication: Creating visualizations and reports to communicate insights and recommendations to stakeholders.
  • Business acumen: Understanding the business context of the organization and how data science can be used to drive value and improve outcomes.
  • Programming: Using programming languages such as Python, R, or SQL to manipulate and analyze data.
  • Data management: Managing databases and ensuring the quality and accuracy of data.
  • Collaborating with other teams: Working closely with other teams, such as software developers, engineers, and business stakeholders, to integrate data science solutions into existing systems and processes.
  • Continuous learning: Keeping up to date with the latest techniques and tools in the field, and continuously improving skills and knowledge.

Data science professionals need to possess strong analytical and problem-solving skills, communication skills, and domain-specific knowledge to effectively communicate insights to stakeholders. They should also be able to work effectively as part of a team and have a passion for learning and staying up to date with the latest developments in the field.

  • Top industry verticals:
    • Travel Industry, IT Sector, Healthcare and Medical Sector, Media & Entertainment, Banking & Finance, Transportation, Non-Profit Industries, eCommerce, Insurance Sector, etc.

  • Top hiring companies:
    • IBM, NETFLIX, FEDEX, Infosys, American Express, etc.

  • Benefits of getting trained with us:
    • Find yourself a more competent, confident, and knowledgeable resource.

      Crack any interview with leading industries without any difficulty.

      Start working in your dream company like a PRO.

      See a drastic change in your communication skills.

  • You will get a completion certification to validate your skills after the completion of Data Science certification training. Also, you are likely to get recognized among top corporate giants. When it comes to enhancing your overall career, we endeavor to give the maximum support.
    • Our training certificate is globally accepted

      Helps the learner to climb the professional ladder

      It showcases credibility

      Increases your earning potential

      Makes you stand tall above the rest

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Plenary for Data Science Program

Track Week Days Course Duration Fast Track
Course Duration 40-45 Days 7 Weekends 8 Days
Hours 2 Hrs. Per Day 3 Hrs. Per Day 6+ Hrs. Per Day
Training Mode Online Online Online
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There are no specific eligibility criteria to enroll in our Data Science course. Anyone interested in starting a career in Data Science can register for this Data Science training program and become job-ready.

Yes, our dedicated crew of professional regularly updated the content of our course; ensuring students must get the latest knowledge.

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There are several benefits to taking a data science course:

  • In-demand skill: Data Science is a high-growth field that is in high demand across a variety of industries, and taking a data science course can help you gain the skills necessary to pursue a career in this field.
  • Better job prospects: With the rise in data-driven decision making, businesses are increasingly looking for professionals who can analyze data and provide insights that can help drive decision making, which means a data science course can help you enhance your job prospects.
  • Enhanced analytical skills: Data Science courses can help you develop analytical and critical thinking skills, enabling you to better understand complex data sets and identify patterns, trends, and relationships.
  • Multidisciplinary approach: Data Science courses provide a multidisciplinary approach to analyzing data, which combines expertise in statistics, computer science, and domain-specific knowledge.
  • Practical experience: Many data science courses provide hands-on training and project work, giving you practical experience in applying data science techniques to real-world problems.
  • Competitive edge: Taking a data science course can give you a competitive edge in the job market, as it demonstrates your commitment to developing skills in a high-demand field.
  • Lifelong learning: Data Science is an ever-evolving field, and taking a course can provide you with a foundation for lifelong learning as you keep up with new developments and technologies.

Overall, taking a data science course can provide you with a competitive edge, develop your skills, and open up new career opportunities in a high-demand field.

There are no prerequisites associated with our Data Science courses. It can be taken up by beginners as well as experienced professionals who want to gain in-demand Data Science skills.

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