Data Science and Machine Learning
Unlock the Power of Data: Learn Data Science and Machine Learning with Expert-led Courses
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Scope of the course

Scope of the course

The course in data science and machine learning involves the study of techniques and tools for analyzing and interpreting large sets of data. It covers topics such as statistical analysis, machine learning algorithms, data visualization, and data manipulation. The scope of the course includes developing skills for extracting insights from data and making predictions using advanced computational methods. The course is highly relevant in the current age of big data and has a wide range of applications in various fields such as healthcare, finance, marketing, and more.

Job you can apply

Jobs you can apply

After completing a course in data science and machine learning, one can apply for a variety of job roles, such as: Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer, AI/ML Researcher, Data Visualization Specialist, Big Data Analyst, Predictive Analytics Specialist, Quantitative Analyst

Comprehensive Curriculum

QIS Academy has endeared itself to global Embedded & Software industry by providing real-time

400 hrs

Learning content

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9+

Languages & Tools

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Tools Covered

What You Will Learn

PYTHON PROGRAMMING FOR DATA SCIENCE

  • Python variables
  • Collections of variables
  • Looping Statements
  • Conditional Statements
  • Functions
  • OOPs Concepts
  • File handling
  • Debugging
  • Data Structures and Algorithm
  • OS module

ANALYZING DATA WITH PYTHON

  • Relational Databases & NoSOL
  • Big-Data Databases
  • Statistics & Probability
  • Importing Datasets
  • Cleaning and Preparing the Data
  • Summarizing the Data Frame

VISUALIZING DATA WITH PYTHON

  • Matplotlib
  • Line Plots
  • Basic Visualization Tools
  • Area Plots. Histograms, Bar Charts
  • Specialized Visualization Tools
  • Pie Charts, Box, Scatter & Bubble Plots

DEEP LEARNING

  • Introduction to Neural Networks
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • Tensor Flow2

TABLEAU

  • Bringing in Data
  • Connecting to Data
  • Visualizing Data
  • Analyzing Data
  • Creating Dashboards
  • Publishing and Sharing
  • Advanced Visual Analytics

MACHINE LEARNING

  • Supervised Learning
  • Classification and Regression
  • Linear Models
  • Naive Bayes Classifers
  • Decision Trees
  • Unsupervised Learning
  • Principal Component Analysis (PCA)
  • K-Means Clustering
  • Recommender Systems
  • User-Based & Item-Based Collaborative Filtering
  • Binning, Discretization, Linear Models & Trees
  • Model Evaluation and Ilmprovement
  • Cross-Validation in scikit-learn
  • Algorithm Chains and Pipelines
  • Prototype to Production

NLP NATURAL LANGUAGE PROCESSING

  • Types of Data Represented as Strings
  • Representing Text Data as a Bag of Words
  • Stopwords
  • Rescaling the Data with tf-idf
  • Investigating Model Coefficients
  • Advanced Tokenization, Stemming
  • Lemmatization
  • Machine Learning and Deep Learning
  • Natural Language Applications

BIG DATA

  • Hadoop Overview
  • Spark Overview

CAPSTONE PROJECT

  • CAPSTONE PROJECT
OUR STUDENTS SAY’S
Learn about our training through our graduates' voices
Adith DA
Software Engineer

I joined Python Full Stack Development at Quest Innovative Solutions, Trivandrum. Recently I got placed as Software Engineering Trainee through Quest placement support. 

Indukala
Junior Software Engineer

One of the best software training institute. I joined in Java Full Stack Development and recently got placed as junior software engineer through Quest's placement support

Akshay R K
Front end Developer

Quest innovative solutions Kannur is an excellent place to learn and develop skills. I have done a course in Python Full Stack Development and got placed in VVDN Kochi