Advanced Diploma in Data Science ML & AI

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

>Advanced Diploma in Data Science ML & AI

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.

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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

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