Internship in Data Science and Machine Learning

Eligibility: BE, B.Tech, ME, M.Tech

Intermediate

Overview

Data Science Internship

Description

Cranes Varsity offers a Data Science Internship.

Data science became the most in-demand skill-set of the 21st century due to the increased amount of data generated by the online users and collecting same by most the companies, as data collected by these companies has to be utilized effectively to scale up the business, the need fora skilled data scientist is very high. The internship program in data science by cranes varsity provides the interns with a varied skill-set for one to master him/her self in the domain of data science.

During the internship program, the interns will get good exposure to Python programming concepts, Machine learning techniques and will also learn about the Project life cycle of data science. These skill-sets are learned to enable our interns to stand out during the interview process and can expect better job opportunities.

PG Diploma in Data Science using Python modules:

Data Science using Python training course syllabus is classified into modules that help students better understand the subject. Which are listed below:
  • Python Programming
  • Advanced Python and Unit Testing
  • Data Analysis & Visualization
  • Machine Learning using SKlearn
  • Tableau
  • Cloud Computing

Placement Support:

Guaranteed Placement is available at the cranes’ campus for those who complete the training successfully.

Course Content:

  • Object-Oriented Programming
  • Overloading Operator
  • Inheritance
  • Regular Expression
  • Multiprocessing
  • Multithreading
  • Testing Fundamentals
  • Unit Testing

  • NumPy
  • Slicing of Matrices Filtering
  • NumPy Functions across the axis
  • Vectorization
  • Array Creation
  • Stacking of arrays
  • Broadcasting
  • Functions
  • Matrix Calculation
  • Pandas Series
  • Pandas Dataframe
  • Working with Categorical Data
  • Sorting DataFrames
  • Creating graphs using Matplotlib
  • Scatter Plot, Line Graph
  • Data Cleaning
  • Selection Data (loc, iloc)
  • Grouping & Aggregation
  • Importing CSV files
  • Customizing Plots
  • Bar Graph, Histogram
  • Handling Missing Data
  • Filtering DataFrames
  • Merging DataFrame(concat, merge)
  • Importing Excel Files
  • Saving Plots
  • Subplots

  • Understand what is Machine Learning
  • Regression
  • Training and Testing Data
  • Classification
  • Decision Tree Classifier
  • Supervised Learning
  • Linear Regression with Single Variable
  • Handling Categorical Data
  • Logistic Regression – Binary classification
  • Support Vector Machine
  • Multiple Linear Regression
  • K-Fold Cross-Validation
  • Logistic Regression – Multiclass classification
  • KNN Classifier
  • Unsupervised Learning
  • K-Means Clustering

  • Tableau Introduction
  • Connect Tableau with Different Data Sources
  • Tableau Calculations using Functions
  • Traditional Visualization vs Tableau
  • Visual Analytics
  • Building Predictive Models
  • Tableau Architecture
  • Parameter Filters
  • Dynamic Dashboards and Stories

  • Introduction To Cloud Computing
  • Management Console, Amazon Web Services Or AWS
  • EBS(Elastic Block Storage), VPC
  • Types of Cloud
  • Card Configuration
  • EBS volumes and snapshots
  • Virtualization
  • Creating S3 Bucket
  • RDS

  • Anaconda Distribution (Jupyter Notebook)
  • Tableau
  • Google Colab
  • AWS

Projects

  • Predicting Home Prices
  • Predicting Credit Card Approvals

Placement Statistics

FAQs

Yes, Cranes Varsity training is available through online

 

Our Online training is Instructor-Led live online sessions

Yes, we will provide training course material for each module

Yes, we offer weekend classes as well evening classes.

Testimonials

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Duration: 5 months
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