Data science Internship | Data science summer Internships

Data Science Internship Course

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4.3 [13.5k Ratings]
Duration: 2 Months
53,702 + Students Enrolled

Get rich with the knowledge of the most powerful currency in modern times - Data. Learn about powerful and complex algorithms that can seamlessly and efficiently extract tangible and profitable insights from data and stay ahead of the rest by learning from the best..

  • 16 hours+ Mentor Support
  • Flexible plans
  • Certificate of Completion
  • Microsoft Gold Partner
  • Real-world Projects
  • Industry Specific Courses
Authorised Education Partners

Our Alumni Works At

Alumni

Concepts Covered

Concepts

Introduction to the most user-friendly language , Python! Learn types of data, multidimensional lists and functions, Dictionaries.

Understanding Global and Local Variables, __init__ function, Packages and modules with PIP, Exceptional handling.

Introduction to libraries - Numpy, Pandas, Matplot and Seaborn.

Understanding Analysis of Data using Numpy, Pandas, Matplot, Seaborn libraries.

Introduction to Machine Learning and types. Understanding training and testing data; pickling and scaling; Classification and Regression introduction

Understanding Linear and Logistic Regression; Understanding Supervised Learning Algorithms-Support Vector Machine, Random Forest and examples.

Understanding Unsupervised Learning Algorithm - K-means Clustering, Hierarchical Clustering and examples.

Introduction to Natural Language Processing - Stemming, Lemmatization, Part of Speech Tagging and relevant examples.

Project Titles

Projects

1. Used cars cost prediction

Using various input parameters predict the cost of used cars and their potential.

2.Detection of Parkinson’s Disease

Based on input parameters , analyze the predict the onset of Parkinson’s Disease.

3.Sales Forecasting

Analyze the various sales data available and predict the sales outcomes of a given company.

4.Movie Recommendation Engine

Based on user preferences, create a system that can provide them with automated movie choices.

Sample Certificate

Certificates

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Meet Our Mentors

Mentors

Pricing Plans For All

Pricing

Self Paced

₹7000

  • Course Completion Certificate
  • 1 minor project + 1 major project
  • Internship Certificate from Verzeo on successful project completion
  • 8 + hours mentor training
  • Microsoft Gold Partner
  • Cobranded Internship Certificate

Mentor Led

₹10000

  • Course Completion Certificate
  • 1 minor project + 1 major project
  • Internship Certificate from Verzeo on successful project completion
  • 16 + hours mentor training & project assistance
  • Microsoft Gold Partner
  • Cobranded Internship Certificate

Advanced

₹13000

  • Course Completion Certificate
  • 2 minor project + 2 major project
  • Internship Certificate from Verzeo on successful project completion
  • 24 + hours mentor training & project assistance
  • Microsoft Gold Partner
  • Cobranded Internship Certificate

Testimonials

Testimonials

Frequently Asked Questions

FAQ

There are 2.5 quintillions (1018) bytes of data created each day. Every search, every survey, every entry on the internet today is digital data. Data is important to every business, economics, research, education and helps to understand, analyze and improve processes and services.
Apart from being good at computational and analytical skills, there are four most important skills to be mastered - STATISTICS, PYTHON / R Language, SQL(akin languages), MACHINE LEARNING.
Data Analysts are only responsible for extracting, cleaning and crunching data. Data Scientists also formulate predictive modules with ML techniques in addition to the above-mentioned activities.
Once the data is extracted, cleaned, manipulated and Visualized( using Statistics and Python). The next few steps of building models to interpret and predict results are done with help of ML techniques.
Certainly. In Data Science, you just need to understand the nature of the data and the methods used to obtain the required output. There are languages that aid like Python, R and SQL, and they are also very easy to learn. We at Verzeo teach you concepts of Data Science right from scratch, so it is easy even for those who are not pursuing a Computer Science degree.
Yes. Data Science is in the zoom and its need and importance will only increase over the years. Procuring a master’s degree in the United States, Canada, United Kingdom, Germany, and other countries will definitely open up challenging roles and lucrative pays in the field of Data Science.
Some of the Data Science career options are Business Intelligence Developer, Data Analyst, Data Architect, Data Engineer, Machine Learning Scientist, Machine Learning Engineer, Statistician and more…
Verzeo does have a department dedicated to the placement of students and is successful in arranging career guidance throughout the year. Verzeo has been successful in maintaining high placement statistics over the years and the fact registered students bear the recession blues with record-breaking placements itself is a testimony to superior quality.