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Data Science Master Class -Internship

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.

Intern Fees : Rs.999/-

IOT Master Class a jpg

Batch Starts: 20 Jan 2022

Limited Seats

Duration : 30 Days

With 7+ Projects Source Code

Learning Format

Recorded Session

Internship Overview

Learn to develop 10 Projects in Data Science Engineering Internship. Pantech will help you develop all this listed 10+ Projects in Data Science Engineering with PANTECH MENTOR.

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and
insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.

Build and scale AI with trust and transparency to drive digital transformation, deliver personalized customer experiences and make more data-backed decisions.

About Us
Why Choose Us

Develop & Refine your Employability Skills with Internships

Join as Interns, Learn and practice with LIVE projects and enhance your employability skills to be Industry Ready. Technical Internships with Assisted Learning & Core Application Practices

  • Organised Content
  • Mentor Assisted Learning
  • Hands on Experience
  • Assignments & Projects
  • 17 Yrs Experience Sharing
  • Forum Support

Key Features

  • 30+ Hours of Learning
  • University Recognised APSSDC Certification
  • Curriculum Designed by Academicians & Industry personels
  • Learn while you Do! Learn by Practising!
  • 10+ Development Projects
  • Mentor Assisted Learning
  • Access to Records & Video Contents
  • Presentation and the Codes – Downloadable
  • Options to Learn at your own pace
  • Community Forums – Doubts Clarification & Knowledge Sharing
About Us
Why IoT

IoT is not just a technology Initiative anymore

Organizations implementing IoT are increasingly focusing on the bsiness outcomes of the technology. IoT Initiatives are no longer driven by the sole purpose of internal operational improvement. IT and business stakeholders must work together to align IoT Projects with business objectives for improving revenue and customer experience, but they are bound by legacy approaches. Organizations with high levels of IoT maturity achieve higher rates of success in their IoT adoption. With the Organisations moving towards Internet of Things, it is essential to know the how on the IoT Concepts and Implementations to stand out from the rest. The Expert Predictions estimate more than to 21 billion IoT devices by 2025. With the AI getting bigger, intervention of smart cities and Smart Cars. IoT is definitely to be the next roll over.

Learning Path

Learning path of any learning concept is rather very important, as it is the way through which the learning process is enabled. This IoT Master class is designed to make the participant learn from the scratch and master the concepts with ease.

  • Python for Data Science and advance Programming 
  • Libraries : Excel, Statistics, Pandas, Numpy, Matplotlib, Seaborn and Sklearn  
  • Python – Data Aggregation, Tokenization, Visualization, Statistical Analysis.
  • Tools – Tableau and Power -Bi.
  • Industry Projects – House Price Prediction, Customer Segmentation, Spam Classification and More.

What You Will Learn!

Day -1 : Python for Data
Science (5 Solved end-to-end Data Science Projects in Python)

Day -2: Advanced Python Programming

Day -3: Pandas Library – Introduction

Day -4: Pandas Library – Data Structures

Day -5: Numpy library – Array Operations | Mathematical Functions

Day -6: Numpy – Sort, Search and Counting Functions

Day -7:  Matplotlib , Histogram Using Matplotlib | I/O With Numpy

Day -8: Matplotlib Library – Introduction , Pyplot API | Types Of Plots

Day -9: Seaborn  Library

Day -10: SKLearn Library

Day -11: Google Colab Notebook

Day -12: Python – Date and Time, Data Wrangling

Day -13: Python – Data Aggregation

Day -14: Python – Word Tokenization , Stemming and Lammetization

Day -15: Python – Data Visualization

Day -16: Python – Statistical Analysis

Day -17: Python – Types Of Distribution

Day -18: Python – Correlation ,Chi-Square Test , Linear Regression

Day -19: Tableau – Introduction and Tools

Day -20: Tableau – Data Sources , Worksheets

Day -21: Spatial Data Science For Covid-19 Disease Prediction

Day -22:  Power-BI – Introduction, Installation Steps and Architecture

Day -23: Power-BI – Data Modelling , Visualization Options | Excel Integration

Day -24: Parkinson’s Disease Prediction – XG Boost Classifier

Day -25: House Price Prediction using Random Forest Regression

Day -26: Customer Segmentation Using ML – K-Means Clustering

Day -27: Home Loan Prediction using Decision Tree Classifier

Day -28: Spam Classification using NLP

Day -29: Hand Written Digit Recognition Using CNN

Day -30: Churn Prediction using Deep Learning

Tools Covered

Internship Take Ways – Assignments, Projects, Certifications

Internship Certificate
  • Enhanced Knowledge Transfer
  • Guided / Mentored Assignments
  • Recognized Internship Certifications
  • Resume Building Recommendations
  • Professional Networking
  • Downloads – PPTs & Project Files
  • 2 Months Access to Recorded Sessions
  • Certificate Downloads on Immediate
  • What is Data Science?

    Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains

  • What are the Importance of Data Science?

    The principal purpose of Data Science is to find patterns within data. It uses various statistical techniques to analyze and draw insights from the data. From data extraction, wrangling and pre-processing, a Data Scientist must scrutinize the data thoroughly.

  • Software Tools used in Data Science?

    TensorFlow, Jupyter, Tableau, Excel, Scikit-learn, NLTK Matplotlib, PowerBI.

  • How we can Access the Recorded Sessions?

    Day Wise Lessons will be uploaded and you can access from the LMS - https://www.pantechelearning.com/lp-profile/ with your registered account.

  • Venue and Duration of the Internship?

    Internship is on Online Mode. Recorded sessions with illustrative combination of theory and practice will enhance the user learning experience.

  • Certificate for the Internship?

    Yes, Its a Certified Internship and Certified by Pantech eLearning and APSSDC. Certificate can download from your account - https://www.pantechelearning.com/lp-profile/ once you complete the Internship.

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