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Master Program in Data Science

Master's Program

Start at March 01, 2022 400+ already registered
more than 99% of students rate this course content and results as Super
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About Courses

All course - 6 months

EinNel paid Training program for fresh Engineers is the launch pad for entry-level job roles in EinNel Technologies. During the 6-month job training at the end of which a job is assured for those who complete the program successfully, candidates undergo 6 months of on job training, will work on live global projects in EinNel Technologies. The program goes beyond merely training - it opens viable career options that accelerate professional growth in the Automotive industry. Students who successfully complete the training program are assured to employed in EinNel Technologies.

  • STEP 1

    What is Data Science?

    The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.

  • STEP 2

    Tools for Data Science

    What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Skills Network Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala. To end the course, you will create a final project with a Jupyter Notebook on IBM Watson Studio and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers.

  • STEP 3

    Data Science Methodology

    Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand.

  • STEP 4

    Data Visualization with Python

    "A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.

    One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions.

  • STEP 5

    Machine Learning with Python

    This course dives into the basics of machine learning using an approachable, and well-known programming language, Python.

  • STEP 6

    Applied Data Science Capstone

    This capstone project course will give you a taste of what data scientists go through in real life when working with real datasets. You will assume the role of a Data Scientist working for a startup intending to compete with SpaceX, and in the process follow the Data Science methodology involving data collection, data wrangling, exploratory data analysis, data visualization, model development, model evaluation, and reporting your results to stakeholders.

  • You'll get:

    Data Science

    • Definition of data science and what data scientists do
    • Tools and algorithms used on a daily basis within the field
    • Skills needed to be a successful data scientist
    • The role of data science within a business
    • How to form a strong data science team

Course teachers

  • media
    Albert Einstein
    Founder & CEO
  • media
    Nelson Joseph
    Co-founder & CTO
  • media
    Merlin Shakila
    Technical Executive, Software
  • media
    Ashwin Daniel
    Business Development Executive

Registration

The intensive course is now open, You will receive detailed information on admission by mail immediately after registration

Price: ₹1,00,000 + GST

our consultant will contact you to clarify further details