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Research Engineer

Research engineers assist with the development or design of the latest products and technology. They improve existing technical processes, machines, and systems and help make new, innovative technologies. Research engineers mainly work theoretically and analytically. Their tasks are diverse. They perform studies, experiments, and analyses on technical systems or components. Furthermore, as their name suggests, they do research, collect relevant data, and evaluate it. Simulations, cost calculations, and feasibility studies also are added to the add applied research. To present their findings, they create presentations and lectures or publish scientific literature.

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Skills Covered in this Path

  • Components of Data Science
  • Data Science Architecture
  • Skills needed to learn Python
  • NumPy and Pandas libraries
  • Python Basics
  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn
  • Plotly
  • Central Tendency
  • Measures of Variability
  • Measure of Skewness
  • Kurtosis
  • Hypothesis Testing
  • T-test
  • Probability
  • Statistics
  • Normal Distribution
  • Sampling Distribution
  • Hypothesis
  • Central Limit Theorem
  • Machine Learning Basics
  • Supervised and unsupervised learning
  • Algorithm basics
  • K-Nearest Neighbour Algorithm
  • Linear Regression Technique
  • Naive Bayes Algorithm
  • Support Vector Machines
  • Random Forest Algorithm
  • Linear Regression
  • Logistic Regression
  • Naïve Bayes
  • ANN
  • Tensorflow
  • Keras
  • Gradient
  • Backpropagation
  • Tensorflow
  • Keras
  • Neural Networks
  • Linear Regression using Tensorflow
  • MNIST Character Recognition
  • Image classification using CNN

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Industry relevant skills
Upskill yourself with 1000+ courses across different domains and earn a certificate.
Stand out to recruiters
Earn certificates for each course you complete and share it online to get noticed by recruiters.

Earn a certificate

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