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Become a Data Scientist by working on real world case studies and projects in just 7 months!
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Course PreviewThis instructor-led Data Science Training, in association with iHUB, IIT Roorkee, will help you master Data Science. The training covers Python programming, Machine Learning, etc., along with real-time projects.
In this advanced Data Science Course certification, you will learn 12 Data Science Courses along with multiple case studies and project work.
Online Instructor-led:
Additional modules for the Data Science Capstone Project, and Business Case Studies will also be covered.
With the increase in the need for data-driven solutions for business organizations, there is a rapid increase in the requirement for data scientists with appropriate Data Science skills.
This Data Science Training Online will help you master skills like SQL, and Python for Data Science, machine learning, data structures, storytelling, AI, Power BI, etc. This certification can quickly accelerate your career in this evolving domain and take it to the next level.
In India, PayScale reports an average data scientist salary of INR 8,74,528 in 2023. According to Glassdoor and Indeed, the average annual salary for data scientists in the United States in 2023 is around US$125,660 and US$122,801, respectively.
Data Science is important as it helps us derive valuable insights from vast amounts of data. By analyzing patterns and trends, businesses can make informed decisions that enhance efficiency and improve customer experiences. It allows organizations to predict future trends, identify opportunities, and mitigate risks. Data Science plays an important role in advanced research and innovation in various fields, such as healthcare, finance, and technology. The importance of Data Science lies in its ability to turn raw data into actionable intelligence, driving progress and success across diverse industries.
Some of the core responsibilities of data scientists are:
Data science is a great career choice for anyone interested in using their skills to solve real-world problems and make a difference. As per the US Bureau of Labor Statistics, the number of jobs in the field of Data Science is going to grow by 27.9% each year. This means data scientists are in high demand across all industries, and they have the opportunity to work on a variety of interesting and challenging projects. Data scientists also have good job security, opportunities for advancement, and competitive salaries.
Yes, this Data Science Course is designed to develop strong foundational skills with advanced concepts delivered to you as capstone projects that present a great option to test your learning.
Many top companies hire data scientists. A few of them are Amazon, Google, IBM, Facebook, Microsoft, Walmart, Target, Visa, Bank of America, Accenture, Fractal Analytics, etc. Enrolling in a Data Science Course would open doors to opportunities available in all such companies.
Typically, the data scientist certification course completion varies, but learners can expect a swift transition to Data Science after fulfilling course requirements successfully.
These are the Data Science projects covered in this Data Science Course:
The Face Detection project in this Data Science Course uses machine learning and image processing to explore computer vision. It develops models to find and recognize faces in pictures.
In this AI Chatbot project that teaches you about natural language processing and machine learning you will make chatbots that are smart and can understand and respond to users, which will make the user experience better and increase automation.
The Restaurant Revenue Prediction uses historical data and machine learning to forecast restaurant revenues, and helps with financial planning.
This Book Recommender Application uses data filtering and machine learning. This app suggests books that match your interests. It uses Data Science to enhance your digital reading.
The Census Project in this Data Science Course helps you analyze and visualize demographic data to find trends and insights. It shows how Data Science can inform policy-making and social research.
In the Housing Price Prediction project, you will study regression analysis and predictive modeling. You will create algorithms to forecast housing prices using different factors. This project shows how Data Science affects real estate and investment strategies.
In the HR Analytics project, you’ll use data analysis and predictive modeling to find patterns and predict employee behavior and turnover. This shows how Data Science can help with human resource strategies and organizational management.
The Joke Rating Prediction project lets you analyze user responses and predict joke ratings. You can use Data Science to understand consumer preferences and optimize content.
There are numerous job opportunities available for data scientists after enrolling in this Data Science Course, like:
Criteria | Data Analyst | Business Analyst | Data Scientist |
Skillset | Analyzing business needs | Analyzing historical data | Making data-driven decisions |
Who is eligible? | Anyone can learn | Anyone can learn | Anyone can learn |
What do they do? | Full life cycle analysis, including business needs, activities, and designing | Implementing technology solutions and analyzing and reporting business capabilities | Statistical analysis and the development of Machine Learning systems |
Average salaries | US$68,000 | US$75,000 | US$112,000 |
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What role does a Data Scientist play?
Design and implement scalable codes alongside effectively developing high-quality applications.
Develop solutions for fixing quality issues in the data upon investigating the reported errors in the data.
Use Lambda functions and API Gateway to integrate machine learning models into web apps and deploy models in SageMaker.
Perform data cleansing, and data transformation, analyze the outcomes, and present the insights in reports and dashboards.
Analyze the operating behavior using advanced statistical techniques and tools. Also, create algorithms with prescriptive and descriptive methods.
Derive intelligence for business products through designing and developing machine learning models.
Python
Data Science
Data Analysis
AI
GIT
MLOps
Data Wrangling
SQL
Story Telling
Machine Learning
Prediction algorithms
NLP
PySpark
Model
Data visualization
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PythonÂ
Linux
SQL Basics –Â
Advanced SQL – Â
Deep Dive into User Defined Functions
SQL Optimization and Performance
Hands-on exercise:Â
Writing comparison data between the past year and the present year with respect to top products, ignoring the redundant/junk data, identifying the meaningful data, and identifying the demand in the future(using complex subqueries, functions, pattern matching concepts).
Extract Transform Load
Data Handling with NumPy
Data Manipulation Using Pandas
Data Preprocessing
Data Visualization
Descriptive Statistics –Â
ProbabilityÂ
Inferential Statistics –Â Â
Introduction to Machine LearningÂ
RegressionÂ
ClassificationÂ
ClusteringÂ
Performance Metrics
Artificial Intelligence BasicsÂ
Neural Networks
Deep LearningÂ
The Data Science capstone project focuses on establishing a strong hold of analyzing a problem and coming up with solutions based on insights from the data analysis perspective. The capstone project will help you master the following verticals:Â
Power BI Basics
DAXÂ
Data Visualization with Analytics Â
Hands-on Exercise:
Creating a dashboard to depict actionable insights in sales data.
Introduction to MLOpsÂ
Deploying Machine Learning ModelsÂ
Version ControlÂ
GIT
Excel FundamentalsÂ
Excel For Data AnalyticsÂ
Data Visualization with Excel
Excel Power ToolsÂ
Classification Problems using Excel
Information Measure in Excel
Regression Problems Using Excel
Hands-on Exercise:
Classification problem using excel on sales data, and statistical tests on various samples from the population.
Data Science Projects
Practice Essential Tools
Designed By Industry Experts
Get Real-world Experience
Over 10+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions that will help you stay on track with your up upskilling.
Get assistance in creating a world-class resume & LinkedIn profile from our career services team and learn how to grab the attention of the hiring manager at the profile shortlisting stage
Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.
Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learner’s educational background, past experience, and future career aspirations.
Placement opportunities are provided once the learner is moved to the placement pool upon clearing Placement Readiness Test (PRT)
Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.
You can unlock your Data science certification issued by us in three simple steps:
You will receive and can download the certificate of this Data Science Course via our Learning Management System. Share your certificate on your LinkedIn or resume.
The Data Science Certification you receive from us is valid for your entire lifetime, and top organizations worldwide recognize it.
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This is the best Data Science Course for professionals who want to expand their knowledge base and start a career in the Data Science field. There are many reasons for choosing this course from Intellipaat:
Along with the Data Science Course, Intellipaat offers other courses such as machine learning, artificial intelligence, Python, Python for Data Science, data analytics, and business analytics.
If you are looking for free resources on Data Scientist online courses, then read our blogs on Data Science Tutorials and Data Science Interview Questions.
Data Science, a branch of computer science, encompasses a wide range of algorithms, tools, scientific methods, and machine learning techniques, as well as a basic understanding of data structures. This field is dedicated to identifying hidden trends and patterns from both structured and unstructured data.
Data scientists are experts in Data Science responsible for collecting and analyzing vast chunks of structured and unstructured data from a range of data sources. These professionals combine their knowledge and skills in mathematics, statistics, and computer science to enable organizations to analyze and process business data and interpret it to help the company make improved business decisions. This Data Science Course can help you become capable of handling all these responsibilities
There are several ways to become a data scientist. Data scientists use numerous Data Science tools/technologies, such as R and Python programming languages and SAS analysis tools. As a budding data scientist, you should be familiar with data analysis, statistical software packages, data visualization, and handling large datasets.
Python is the most popular and preferred language in Data Science because it is an easy-to-use, easy-to-learn, open-source programming language. Moreover, it is a dynamic language that supports multiple paradigms. Apart from this, some other languages used in Data Science include R and SQL.
This Data Science Course is for beginners who are new to Data Science and experienced professionals who wish to upskill themselves in this domain.
You will gain access to our job portal once you complete the entire Data Science Training program and execute the assignments and projects part of the program.
To be eligible to get into the placement pool, the learner has to complete the Data Science Course along with the submission of all projects and assignments. After this, he/she has to clear the Placement Readiness Test (PRT) to get into the placement pool and get access to our job portal as well as the career mentoring sessions.
In a Data Science Course, newcomers and those at an intermediate level can expect to gain knowledge in various areas. Industry professionals often choose this Data Science Training, which lasts six to twelve months, to gain a strong foundation in the discipline. Along with the theory, our Data Science Course provides virtual labs, real-world projects, fun interactive quizzes, and practice tests to make your learning even better.
Intellipaat helps fresh college graduates with its placement assistance programs. These Data Scientist Courses can help a fresh college graduate seeking employment.
Yes, Data Science can be very easy to learn for those with a passion and the right resources. With numerous online courses, tutorials, and communities dedicated to Data Science, learners can grasp the basics quickly. Motivation, combined with the right tools, makes the journey engaging and accessible to many.
To become a data scientist, one needs a relevant degree, a strong mathematical understanding, and proficiency in languages like Python. Furthermore, mastery of data visualization tools like Power BI or Tableau, keeping yourself updated on the latest algorithms used for ML and AI application development, and hands-on experience via projects are vital. In this Data Science Course, soft skills training is also included, as it plays an important role to become a successful data scientist.
Yes, this Data Science Course covers all the foundational knowledge required to learn the basics of Data Science. Also, students are provided with basic preparatory modules that they can start even before the commencement of his/her classes. So, even if you are from a non-tech background with zero knowledge of programming, this Data Science Course is made to transition you to a tech career in a comfortable way.
The decision between Data Science and data analytics depends on your goals. Data Science is broader and focuses on gaining insights, creating models, and solving complex problems using various techniques. Data Science is best suited for those interested in research and innovation. On the other hand, data analysis is more about interpreting existing data to make data-driven decisions. If you enjoy working with structured data to gain useful insights and contribute to business strategies, data analytics may be a better fit. Consider your preferences and career aspirations to make an informed decision between Data Science and data analytics.
Statistics is the language of Data Science. It forms the basis for effective decision-making as it helps us understand complex data and recognize patterns, trends, and relationships. Statistical knowledge can be used to gain meaningful insights, make informed predictions, and validate results. It enables data scientists to accurately interpret results and make data-driven decisions that improve the overall reliability of the analysis. A deep understanding of statistics helps data scientists extract valuable information from data and ensure that their conclusions are useful in decision-making.
Yes, coding is essential in Data Science. It serves as the foundation for analyzing and interpreting data. Proficiency in languages like Python or R programming allows data scientists to manipulate and process data efficiently, build statistical models, and extract valuable insights. While some tasks can be accomplished with basic coding skills, advanced projects often demand a deeper understanding of programming. Acquiring coding skills allows individuals to navigate the complexities of Data Science, enhancing their ability to draw meaningful conclusions from data sets.
Yes, Data Science requires math, but the level of math skills depends on the specific tasks. Basic math skills, such as statistics and algebra, are essential for analyzing and interpreting data. Advanced topics such as calculus and linear algebra may be required for more complex modeling. A solid understanding of mathematics improves the ability to draw meaningful insights from data.
AI and Data Science are interconnected but serve different purposes. Data Science focuses on extracting insights from data, while AI involves creating systems that can perform tasks without explicit programming. Both are valuable in the tech landscape.
Absolutely! A commerce student can pursue Data Science. Data Science involves analyzing and interpreting data to gain insights and make informed decisions. While a background in computer science or statistics can be helpful, it’s not mandatory.
As a commerce student, you may need to acquire some additional skills in programming languages like Python or R and familiarize yourself with statistical methods and data analysis tools. There are many online courses and resources available to help you learn these skills.
Remember, Data Science is a multidisciplinary field, and individuals from various educational backgrounds can excel in it. So, if you’re interested, go ahead and explore the world of Data Science!
Intellipaat offers query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail yourself of email support for all your queries. We can also arrange one-on-one sessions with our support team If your query does not get resolved through email. However, 1:1 session support is given for 6 months from the start date of your course.
Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.
Apparently, no. Our job assistance is aimed at helping you land your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final hiring decision will always be based on your performance in the interview and the requirements of the recruiter.
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