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Softronix - Successful Career in Data Science

In today's data-driven world, businesses rely more on data analysis to make informed decisions. This has led to the rise of the field of data science, which combines computer science, statistics, and domain knowledge to extract meaningful insights from data. Data science course in Nagpur has become essential for professionals in various industries, and the demand for skilled data scientists is only increasing.

  1. The term "data science" was first coined by William S. Cleveland, a statistician, in 2001.
  2. According to IBM, 90% of the world's data has been created in the last two years.
  3. The average salary for a data scientist in the United States is over $120,000 annually, making it one of the highest-paying jobs in the tech industry.
  4. Data science is used in various industries, from healthcare and finance to sports and entertainment.
  5. The Netflix recommendation algorithm, which suggests movies and TV shows based on your viewing history, is a prime example of the power of data science.
  6. The use of data science in sports has revolutionised how teams train, strategise, and recruit players.
  7. In 2013, the Harvard Business Review declared data science "the sexiest job of the 21st century."

What is Data Science?

Data science is the field of study that uses statistical and computational methods to extract knowledge and insights from data. It involves collecting, processing, and analysing large volumes of data to identify patterns and trends that can be used to make informed decisions. Data science combines elements of computer science, mathematics, and domain expertise to extract insights from data that can be used to improve business performance, drive innovation, and solve complex problems.

Why Data Science?

Data science has become integral to decision-making in many industries, including finance, healthcare, marketing, and technology. The insights gained from data analysis can help businesses optimise their operations, improve customer experience, and gain a competitive advantage. The demand for data scientists is increasing, with Glassdoor listing data scientists as one of the top 10 jobs in the US. Additionally, data scientists earn a high salary, with the median annual salary for a data scientist in the US being $120,000.

Data Science Course Highlights

  • 160+ Hours Live Instructor-Led Sessions 

  • Exclusive Training by Softronix Instructor 

  • Focus on Job-Readiness Throughout the Program 

  • Cloud Labs-Enabled Learning Content 

  • Practical Experience Through Real-World Projects  

  • Structured, Industry-Validated Curriculum 

  • Hackathons, Mock Interviews, and Much More! 

What do we teach in data science?

benefits of Java Full-Stack Development

Data science is a broad field that uses statistical and computational methods to extract insights and knowledge from data. At Softronix, we cover a comprehensive curriculum in our data science classes in Nagpur that includes the following topics:

  1. Programming Fundamentals:
    We start with the basics of programming, including Python programming language, data structures, and algorithms.
  2. Statistics and Probability:
    We cover essential statistical concepts like mean, median, mode, standard deviation, probability distributions, hypothesis testing, etc.
  3. Data Preprocessing:
    We teach data cleaning, transformation, normalisation, and data integration techniques to prepare the data for analysis.
  4. Machine Learning:
    We cover supervised and unsupervised machine learning algorithms like linear regression, logistic regression, decision trees, random forests, K-means clustering, and more.
  5. Deep Learning:
    We teach neural networks, convolutional neural networks, and recurrent neural networks for image and speech recognition, natural language processing, and more.
  6. Data Visualization:
    We teach data visualisation techniques using libraries like Matplotlib, Seaborn, and Plotly to create compelling and engaging visualisations.
  7. Big Data Analytics:
    We cover tools and technologies like Hadoop, Hive, and Spark for working with large datasets.

Overall, our data science course in Nagpur is designed to provide you with a strong foundation in data science, covering all the essential concepts and tools required to succeed in this field.

Gain multiple skills readily adaptable across the full stack

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Softronix Advantage

The most effective project-based immersive learning experience

Immersive Learning

immersive-learning
  • On-demand learning videos
  • Guided hands-on exercises
  • Auto-graded assessments, recall quizzes
  • Capstone projects and assignments

Learn by Doing

learn-by-doing
  • Learn to code by actually coding
  • Practice your code on Cloud Labs
  • Write code right in your browser
  • Get project-ready with work-like experiences

Real-Time Insights

  • Get advanced learner-centric insights
  • Track the progress of your skills
  • Identify key learning areas to improve on
  • Measure and benchmark skills progression

Outcome-Focused

outcome-driven-learning
  • Mock Interviews with personalized feedback
  • Interview prep support with coding challenges
  • Mentorship by Softronix experts
  • Career coaching, dedicated placement support

Kickstart Your Dream Career

Your Path to Becoming a Skilled Data Science Developer

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Applications of Data Science

Web App :   Data Science is frequently employed in the creation of web applications, such as dynamic, interactive websites, e-commerce platforms, content management systems, and online banking systems.


Mobile Applications :  Data Science is also used to develop mobile applications on Android devices, making it one of the most popular programming languages for development.


Enterprise App :   Data Science's scalability and reliability make it an excellent choice for developing enterprise-level applications, such as customer relationship management systems, supply chain management software, and project management tools.


Scientific Applications :   Data Science is used in scientific computing to develop simulation and modelling software, data analysis tools, and visualization software.


Gaming Applications :   Data Science's cross-platform capabilities make it an ideal choice for developing games that can run on multiple operating systems.


Embedded Systems :   Data Science is also used for developing software for embedded systems, such as digital cameras, printers, and GPS devices.

prerequisites for Java Full-Stack Development

Prerequisites

  • There are no prerequisites to attend this .
  • The right aptitude, logical thinking, and drive for curiosity are all you need. Leave the rest to us!

Why Choose Softronix for Data Science Training?

Softronix offers a comprehensive data science course in Nagpur to help you build a successful career in this in-demand field. Our training programs are taught by experienced data scientists who bring real-world experience and expertise to the classroom. We offer hands-on training emphasising practical skills, focusing on developing your ability to analyse data and derive insights. Our data science classes in Nagpur are designed to prepare you for the most in-demand roles in data science, including data analyst, data scientist, and machine learning engineer.
We offer courses covering data science skills, including data analysis, machine learning, data visualisation, and big data technologies. Our courses are designed to provide you with a solid foundation in data science concepts and techniques, with practical exercises and projects that give you hands-on experience working with real-world data.

Future Prospects
The future of data science is bright, with an increasing demand for data scientists in many industries. According to a report by the US Bureau of Labor Statistics, employment of computer and information research scientists, including data scientists, is projected to grow 15% from 2019 to 2029, much faster than the average for all occupations. The increasing use of data-driven decision-making in businesses, healthcare, and other industries drives this growth. As more organisations adopt data-driven strategies, the demand for skilled data scientists will continue to rise.

Who Should Attend the Data Science Developer

Students

Novices

Developers

IT Industry Professionals

Professionals in a tech adjacent role

Professionals from any industry

Freshers

Upcoming Batches

S. NO Batch Time Start Date Duration Online/Offline Remind Me
1 10am-12pm 1 May 2023 2 months Online
2 2pm-4pm 15 June 2023 3 months Offline
3 6pm-8pm 1 July 2023 1.5 months Online

Our Facts and Figures

Data Science is an easy-to-learn and versatile programming language that can make you an ace. join now and enhance your career with Softronix' DT Course.

70 +

Classroom

130000 +

Successful Career made

90+

Total Mentors

280 +

Online/Offline Courses

Frequently Asked Questions

Basic programming skills in a language like Python or R are helpful but optional. A background in statistics or mathematics is also helpful but optional.

Our data science course in Nagpur range from 6 weeks to 6 months, depending on the program and your schedule.

After completing data science training, you can apply for various roles, including data analyst, data scientist, machine learning engineer, and data engineer.

Our training programs include hands-on projects that give you real-world experience working with data. You will work on projects that cover data analysis, machine learning, visualisation, and big data technologies. In conclusion, if you want to build a career in data science, Softronix is the right place for you. With our comprehensive curriculum, experienced trainers, and hands-on approach to learning, you will be well-equipped to take on the challenges of this exciting field. Contact us today to learn more about our data science course in Nagpur.

Experience

Data science is a multidisciplinary field, and employers may look for candidates with a degree in computer science, statistics, mathematics, or a related field. Candidates may need to have experience in programming languages like Python or R, data visualization, and statistical analysis techniques.

A data scientist should have strong analytical and problem-solving skills, good communication skills, and proficiency in statistical analysis, machine learning, and programming languages. Additionally, experience with big data platforms, cloud computing, and data visualization tools can be beneficial.

Participating in online courses, boot camps, or certifications can provide hands-on experience with data science tools and techniques. Additionally, participating in open-source projects or attending data science conferences can help you network with professionals in the field and stay up to date on the latest trends.

Data scientists may face challenges in handling large datasets, selecting appropriate algorithms for analysis, dealing with missing or incomplete data, and ensuring the quality and accuracy of the data. Additionally, data scientists may need to work with cross-functional teams and communicate complex insights to non-technical stakeholders.

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