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Data Science Placement Guarantee Overview

This course will help you break into the field of data science through immersive learning of statistics, data analysis, and visualization, machine learning, deep learning, SQL, R, Python, etc., and is delivered through hands-on projects, and live interaction by industry experts

Key Features

  • Rigorous interview preparation and career assistance
  • Holistic learning experience through live sessions from industry experts and 15+ real-life projects in the field of data science
  • Industry-recognized program completion certificate
  • Cohort-based online program structure
  • Lifetime access to high-quality course content
  • 24x7 online assistance

Data Science Placement Guarantee Advantage

This Data Science course with a Placement Guarantee offers a comprehensive curriculum and helps you to land your dream job in the data science field upon successful completion of the course.

Fast track your career

This data science course will enable learners to learn industry-relevant skills such as data analysis and visualization, machine learning, deep learning, SQL, R, Python, etc. through an applied learning pedagogy 

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With this Program you will :
  • Reinforce your learnings with our industry-relevant capstone project 
  • Get an industry-recognized course completion certificate
Data Science SureHire

Data Science Placement Guarantee Details

Explore the comprehensive curriculum offered in this course to become invaluable to employers with data science fluency and leverage the power of data to solve problems.


  • One of the best for career transformation, this program will help you break into the field of data science through immersive learning in statistics, data analysis and visualization, machine learning, deep learning, SQL, R, Python, etc., and is delivered through a combination of videos, hands-on projects, and live interaction with industry experts

  • This course will enable you to define statistics—a foundational part of data science—and essential terms related to it, explain measures of central tendency and dispersion, and comprehend skewness, correlation, regression, and distribution. You will be able to make data-driven predictions through statistical inference.

  • Boost your analytics career with powerful new Microsoft® Excel skills by taking this Business Analytics course, which includes training on Power BI. These two commonly used tools, combined with official business analytics certification, will put you on the path of a successful career.

  • Master SQL and improve your career prospects with Simplilearn’s SQL Database Training Course. Functional knowledge of SQL (Structured Query Language), the leading programming language for relational database management systems, is in high demand and can set you apart in the job market.

  • The Data Science with Python certification course provides a complete overview of Python's Data Analytics tools and techniques. Learning Python is a crucial skill for many Data Science roles. Acquiring knowledge in Python will be the key to unlock your career as a Data Scientist.

  • Ensure career success with this Machine Learning course. Learn this exciting branch of Artificial Intelligence with a program featuring 58 hrs of Applied Learning, interactive labs, 4 hands-on projects, and mentoring. With our Machine Learning Certification training, master Machine Learning Concepts required for a Machine learning certification. This Machine Learning online training will provide you the skills needed to become a successful Machine Learning Engineer today.

  • This Tableau certification course helps you master Tableau Desktop, a world-wide utilized data visualization, reporting, and business intelligence tool. Advance your career in analytics by learning Tableau and how to best use this training in your work.

  • This Data Science Capstone project will give you an opportunity to implement the skills you learned throughout this program. Through dedicated mentoring sessions, you’ll learn how to solve a real-world, industry-aligned Data Science problem, from data processing and model building to reporting your business results and insights. The project is the final step in the learning path and will enable you to showcase your expertise in Data Science to future employers.

  • As part of this business analysis certification program, learn to analyse data and make informed decisions with help of R programming language.

  • This Deep Learning course with TensorFlow certification training is developed by industry leaders and aligned with the latest best practices. You’ll master deep learning concepts and models using Keras and TensorFlow frameworks and implement deep learning algorithms, preparing you for a career as Deep Learning Engineer.


  • Exploratory Data Analysis
  • Inferential Statistics
  • Descriptive Statistics
  • Data Analytics
  • Data Visualization
  • Data Storytelling
  • Linear and Logistic Regression
  • Clustering
  • Hypothesis Testing and Estimation
  • Data Wrangling
  • Supervised Learning
  • Time Series Modelling
  • Ensemble Learning
  • Neural networks
  • Deep Learning
  • Soft Skills
  • UnSupervised Learning


Microsoft ExcelpythonNumPyRSciPyMatPlotlibpandastensorflowtableau

Industry Projects

  • Project 1

    Real Estate

    Learners are required to build a statistical model to predict the demand for loans for a particular region. Also, create a detailed lender dashboard.

  • Project 2


    The goal of this project is to build a model to predict patients with diabetes by utilizing the given data set.

  • Project 3


    Perform customer segmentation using RFM analysis. The resulting segments can be ordered from most valuable to least valuable.

  • Project 4

    Ecommerce Sales Dashboard

    An Online E-Commerce Company wants to design a Sales dashboard to analyze the sales based on various product categories.

  • Project 5

    Sales performance Analysis

    To build a dashboard for a retail products company that will present monthly sales performance by product segment and product category

  • Project 6

    Customer Service Request Analysis

    Perform a service request data analysis of calls. You will focus on the data wrangling techniques to understand the pattern in the data and also visualize the major complaints.

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.


Ideal Candidates

Ideal for individuals wishing to make an early transition into the world of data science.

Target Audience

Job Guarantee Program for Final Year Students, Freshers, and up to 2-year experience professionals. wishing to make an early transition into the world of data science.

Pre-requisite/Eligibility Criteria

B. Tech / M.Tech / MCA / M.Sc / M.A (Economics) / MBA / BCA / B.Sc (IT) degree holders and final year students with minimum 60% academic record.

Why Online Bootcamp

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

Program Cohorts

There are no cohorts available in your region currently

Got questions regarding upcoming cohort dates?

Data Science Placement Guarantee FAQs

  • Who is the program meant for?

    The Data Science course with Placement Guarantee is designed for final year students, fresh graduates and young professionals who want to make an early transition into the world of data science. The course is focused on instilling the skills required by the industry and making you job ready.

  • What projects are included in this program?

    A unique feature of our program is the project-driven curriculum. There are topic-end assisted and unassisted projects, lesson-end projects, etc. in our courses. There are also phase-end projects which provide further learning on the concepts covered in a particular course. Lastly, there are capstone projects which provide hands-on working experience — the objective of which is to solve some typical scenarios and problems as done in the industry. 

  • Who are the instructors for this Data Science course?

    All of our highly qualified trainers are Data Science industry experts with at least 10-12 years of relevant experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty pool.

  • I am not able to access the Data Science course, who can help?

    Contact us using the form on the right of any page on the Simplilearn website. Select the Live Chat link, or contact Help & Support.

  • What is Global teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in Data Science on your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.

  • What is covered under the 24/7 support promise?

    We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your Data Science course with us.

  • What skills are required to become a professional in the data science domain?

    The field of data science comes with a steep learning curve. Professionals in this field need to have a strong hold on crucial programming languages, Excel, statistical computations, data analysis, data visualization, ML, DL, etc., as well as strong communication and interpersonal skills. For those with quantitative backgrounds or existing analytical skills, building out these specialized skill sets can create ample opportunity to secure a high-paying job in the fields of data science, advanced analytics, business intelligence, and more.

    The combination of a solid educational background with the right technical and interpersonal skills enables data professionals to effectively convey and communicate insights and actionable recommendations to the right stakeholders.

  • Are data professionals in demand?

     The U.S. Bureau of Labor Statistics sees strong growth in the data science field and predicts the number of jobs will increase by about 28% through 2026. That is roughly 11.5 million new jobs in the field of data science.


  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.