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Data Science
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Data Science

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Large amounts of data can be analysed using scientific procedures, algorithms, and methods in the discipline of data science. The current market is changing quickly, with machine learning and AI playing a significant role in the major source of commerce becoming increasingly digital. These new technologies are aided by data science, which solves issues by connecting related data for later use.

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    OVERVIEW OF THE PROGRAM

    Machine learning, or the study of algorithms, has significantly aided in the evolution and use of artificial intelligence over the past ten years. Regardless of the industry it is used in, it is a fully data-driven idea that analyses user behaviour and business operational patterns. With the help of our certification programmes, you will be able to comprehend the use and future of machine learning, get knowledge of how ML is applied in many sectors through our internship programmes, and master the python programming abilities required to succeed as an ML Engineer.

    Live Training sessions

    Distinguished Mentors

    Internship Experience

    Industry Relevant Projects

    LMS Access

    Professional Certifications

    PAID INTERNSHIP
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    PROJECTS
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    JOB ASSISTANCE
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    Skill Covered

    • Data Wrangling & Exploration
    • Python Programming Concepts
    • Machine Learning Algorithms
    • Hands-On Knowledge Of Python Libraries Used For Data Manipulation & Visualization
    • Pandas For Data Manipulation
    • Numpy For Numeric & Scientific Computation
    • Natural Language Processing (NLP)
    • Deep Learning (CNN, RNN)

    Key Features

    • Interactive Sessions with Distinguished Mentors
    • 200+ Hours of Online Sessions
    • Flexible Payment Model
    • Certifications From Internationally Renowned Universities
    • Practical Exposure Through Industry-Relevant Projects and Internships
    • Mock Test / Mock Interviews to Make you Interview Ready
    • Career Counselling
    • Resume Building Assistance

    WHY LEARN FROM INTERNINFOTECH?

    Our training curriculum includes ideas ranging from basic to advanced, allowing freshmen to excel in their careers.

    Python Course Timeline
    Introduction
    • what is data science?
    • Applications & uses of data science
    • Relation between data science, AI & machine learning
    Introduction to Python
    • Python fundamentals
    • Data types, list, dictionary
    • Array, string operations
    • Conditions and loops
    • Inbuilt and user defined functions
    • IO, Excel and DB operations
    • Error Handling
    • OOPs and Regular Expressions
    • Scope of Python
    • Decorators
    Introduction to Machine Learning
    • Decoding Artificial Intelligenc
    • Fundamentals of Machine Learning
    • Types of machine learning
    Tools Required for Data Science
    • Training, Testing
    • Cross validation Data Pickling
    • Scaling Technique
    • Error Metrics Features and label
    Machine Learning in Data Science
    • Performance Metrics
    • Supervised vs unsupervised learning
    • Classification vs regression
    • Support vector machine
    • K-means clustering
    • Random forest linear
    Deriving Insights from Data Sets
    • Introduction to Joins
    • Working with geodata & what-ifs parameters
    • Creation, calculation, and grouping of fields
    • Sorting, filtering, & analyzing data
    Natural Language
    • What is natural language?
    • Natural Language Toolkits (NLTK)
    • Stopwords
    • Stemming
    • Lemmatization
    • What is sentiment analysis?
    • Native and bayes
    Statistics
    • Probability & distribution
    • Central limit theorem
    • Hypothesis testing
    • Categorical data
    Predictive Modelling
    • Introduction
    • Types of productive modelling
    • Data extraction
    • Data exploration
    Core Concepts
    • Data Visualization
    • Building a data visualization library
    • Numpy
    • Pandas
    Python Course Timeline
    Introduction
    • what is data science?
    • Applications & uses of data science
    • Relation between data science, AI & machine learning
    Introduction to Python
    • Python fundamentals
    • Data types, list, dictionary
    • Array, string operations
    • Conditions and loops
    • Inbuilt and user defined functions
    • IO, Excel and DB operations
    • Error Handling
    • OOPs and Regular Expressions
    • Scope of Python
    • Decorators
    Introduction to Machine Learning
    • Decoding Artificial Intelligence
    • Fundamentals of Machine Learning
    • Types of machine learning
    Tools Required for Data Science
    • Training, Testing
    • Cross validation Data Pickling
    • Scaling Technique
    • Error Metrics Features and label
    Machine Learning in Data Science
    • Performance Metrics
    • Supervised vs unsupervised learning
    • Classification vs regression
    • Support vector machine
    • K-means clustering
    • Random forest linear
    Deriving Insights from Data Sets
    • Introduction to Joins
    • Working with geodata & what-ifs parameters
    • Creation, calculation, and grouping of fields
    • Sorting, filtering, & analyzing data
    Natural Language
    • What is natural language?
    • Natural Language Toolkits (NLTK)
    • Stopwords
    • Stemming
    • Lemmatization
    • What is sentiment analysis?
    • Native and bayes
    Statistics
    • Probability & distribution
    • Central limit theorem
    • Hypothesis testing
    • Categorical data
    Predictive Modelling
    • Introduction
    • Types of productive modelling
    • Data extraction
    • Data exploration
    Core Concepts
    • Data Visualization
    • Building a data visualization library
    • Numpy
    • Pandas

    PRICING PLAN

    We provide best programs at affordable price and student friendly.

    GOLD

    ₹ 25000

    • Course Duration : 4 months
    • Live classes : 60 Hours
    • Video Content : 70 Hours
    • 2 Major + 2 Minor Projects
    • Program Completion Certificate
    • Co-branded internship Certificate*
    • 100% Job Assistance (T&C Applied)
    • 100% Paid Internship* Post Complition of Program* ( T&C Applied)
    GET STARTED

    PLATINUM

    ₹ 30000

    • Course Duration : 6 months
    • Live classes : 100 Hours
    • 4+ Hrs of Live Sessions
    • Video Content : 70 Hours
    • 3 Major + 2 Minor Projects
    • Program Completion Certificate
    • Co-branded internship Certificate*
    • 100% Job Assistance (T&C Applied)
    • 100% Paid Internship* Post Complition of Program* ( T&C Applied)
    GET STARTED

    OUR CERTIFICATION

    On completion of a program each participant gets a course
    completion, internship and outstanding performance certificates.

    On completion of a program each participant gets a course completion, internship and outstanding performance certificates.
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    What Our Clients Say

    Everything they say on their website is true. They give you everything you need in the classroom, and the opportunity you need in the industry. Students that perform well during their sessions and during their internship get complete support from the InternInfotech team during your placement process.
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    Vibhor Tyagi
    Technical Associate, PwC

    Our Alumni Work At

    Our alumni are already starting to make waves in their
    industries. Our former students are already working in high-
    profile industries and are shaping our futures.

    ur alumni are already starting to make waves in their industries. Our former students are already working in high-profile industries and are shaping our futures.
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    Frequently Asked Questions

    Can I learn data science without knowledge in computer engineering?

    Certainly. You only need to comprehend the nature of the data and the procedures utilised to produce the desired result in data science. Certain languages, like Python, R, and SQL, are extremely helpful and simple to learn. Internstech teaches you the fundamentals of data science from scratch, making it simple even for people without a background in computer science.

    Data extraction, cleaning, and processing are the only tasks that data analysts are in charge of. Together with the aforementioned tasks, data scientists also create predictive modules using ML approaches

    Our instruction is based on the same core ideas. The job guarantee programmes, on the other hand, are a more rigorous training schedule with the aim of getting our students fully prepared for the workforce. Also, this programme offers expert aid, counselling, and guidance in addition to help with resume development. At InternsTech, our staff will make sure that you begin in the career of your choice

    Yes. Our goal at InternsTech is to prepare our students for the workplace. You will not only have the necessary knowledge and skills, but you will also have had experience with our programme before the hiring process. Also, we will provide you with all the essential assistance, including help with resume development, career counselling, and interview preparation. To ensure that you land the ideal position, our mentors collaborate closely with our placement staff.