Data Science Advance Program

Program Overview

From mathematics to machine learning, Data Science is a vast field. In this program, you’ll be taught to use all the tools required and identify trends, and patterns, and gain insights from raw data as required in the industry. You will leave this program having learned how to validate and support big business decisions with facts and figures.

Delivery Mode

Self Paced Learning and Live virtual classroom

Certification Aligned with

What you will learn in this course

Our Objective

About the program

What you will learn in this course

Our Objective

About the program

About the Course

Why learn from CORIZO?

Project Centric Learning

Program comprises of three months of industrial training from experts, two months of project training and one month of placement training.

Online Bootcamps & Workshops

A brief overview and fundamental concepts of Data Science Advance Program that will prepare you for jobs in the field of digital marketing.

Industry tools & Case Studies

Two major projects from our affiliated companies in order to provide industry exposure and experience in the work environment in MNCs.

Top-Notch Mentors

Three months of industrial training from experts with more than ten years of experience in the field of advanced Digital Marketing.

Quality Study Material

This online marketing certificate course gives you a comprehensive understanding of Data Science Advance Program and prepares you for a successful career in this field.

Discussion Forums

Live interactive sessions with industry expertswith more than 10 years of experience in the field & lifetime access to recordings.

Key Highlights of Our Data Science Program

Introduction to Mobile Applications

1. Brief history of mobile applications 2. Different types of mobile applications 3. How mobile applications are impacting our life?

Introduction to Android

1. What is Android? 2. Brief history of Android 3. Pre-requisites to learn Android 4. Brief discussion on Java programming

Android Architecture

1. High Level Architecture of Android 2. Brief history of Android 3. Introduction to application framework 4. Introduction to libraries

Preparing Android Development

1. System requirements 2. Installing Android Studio 3. Exploring Android Studio and tools 4. Overview of Android build system

Creating First Android Application

1. Creating Android project 2. Project organization 3. Setting up real Android device 4.Setting up Android emulator 5. Developing simple user interface 6. Running your first application

Android Application Components – Part I

1. Intent and Intent filters 2. Activities and its lifecycle

Android Application Components – Part II

1. Services

Android Application Components – Part III

1. Broadcast Receivers 2. Content Providers

Android Application Components – Part IV

1. App Widgets 2. Processes and Threads

User Interface Components

1. Views and layouts 2. Input controls 3. Input Events

Advanced UI

1. Gestures 2. Fragments 3. Canvas, Web View 4. Accessibility 5. Styles and Themes 6. Drag and drop 7. Creating custom components

Program Curriculum

Student Dedicated Pricing Plan: “The pricing plans are pocket friendly to make the programs easily accessible and affordable for all.”

Linux Operating System

Installing Linux on VirtualBox
Basic LinuxCommands
Security and Networking
UsingCLI
Linux Editors RemoteControlling of a System
Setting up and using YARN
Advanced LinuxConcept

Git

VersionControl
Types of Version Control System
IntroductiontoSVN
IntroductiontoGit
GitLifecycle
CommonGitcommands
Working with branches in Git
Mergingbranches
Resolvingmergeconflicts
Gitworkflow

Python For Data Science

PythonRefresher
PythonBasics
Python Data Structures
Python Programming Fundamentals
File handling in Python
Numpy
Pandas
SciPy
Matplotlib
Seaborn

Statistics

Centraltendency
Variability
Hypothesis testing
Anova
Correlation
Regression
Probability definitions and notation
Joint probabilities
The sum rule, conditional probability, and the product rule
Bayes theorem

Introduction To Machine Learning

Supervised Learning
Classification
Regression
Estimation
Unsupervised Learning
Clustering
Prediction
Reinforcement Learning
Decision Making

Ml Predictive Algorithms

Linear Regression
Logistic Regression
Linear Discriminant Analysis
Classification and Regression Trees
Naive Bayes
K-Nearest Neighbors (KNN)
Learning Vector Quantization (LVQ)
Support Vector Machines (SVM)
Random Forest

Data Science Using Py spark

Introduction to Big Data and Apache Spark
Apache Spark framework andRDDs
Py Spark SQL and Data Frames
Introduction to Hive

Data Visualization Using Tableau

Introduction to data visualization
Architecture of Tableau
Working with metadata and data blending
Creation of sets
Working with filters
Organizing data and visual analytics
Working with mapping
Working with calculations and expressions
Working with parameters
Charts and graphs
Dashboards and stories
Tableau Prep
Integration of Tableau with R

Data Analysis Using Ms Excel

Entering data
Referencing in formulas
Name range
Understanding logical functions&conditional formatting
Important formulas in Excel
Working with Dynamic table
Data transformation for analysis
Working with charts for data visualization
Pivottables in Excel
Working with Macros in Excel and working with VBA

Datawrangling Using Sql

Introduction to SQL
Database normalization and entity-relationship model
SQL operators
Working with SQL:Join, tables, and variables
Deep dive into SQL
SQL Functions
Working with Subqueries
SQL views,functions, and stored procedures

Deep Learning Using Tensor flow

Introduction to Deep Learning and Neural Networks
Multi-layered Neural Networks
Artificial Neural Networks and various methods Deep Learning libraries

Natural Language Processing

Overview of Natural Language Processing and text mining
Text mining, cleaning, and processing
Text classification
Sentence structure, sequence tagging, sequence tasks, and language modelling
Introduction to semantics and vector space models
Dialog systems

Program Overview

Learn how to plan and execute security measures to shield an organization’s infrastructure, data and network devices from external threats and data leaks. You will leave this program having learnt how to prevent, identify and respond to cyber threats and data breaches.

Delivery Mode

Self Paced Learning and Live virtual classroom

Founder & CEO

Adam Smith

Call To Ask Any Queary

+(258) 2156 2154

About Us

Prepare for the Industry with Committed Career Help

Soft Skill

Learn the right body language, soft skills, & presentation techniques needed to become a professional.

Mock Interviews

To get ready for all interview rounds and questions, practice with multiple levels of mock interviews.

Portfolio Building

Make a standout marketing portfolio for demonstrating to your prospective employers and clients.

Resume Building

Create a powerful digital marketing CV highlighting your credentials, experiences, & skills to land a job.

Interview

Our recruitment specialist will help you optimize your job portals & provide interview opportunity.

Certificates

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Hands-On Data Science Advance Projects

Build Data Science Projects Using Capstone

Dive into practical data science applications by completing capstone projects that cover a range of real-world scenarios. From predictive modeling to exploratory data analysis, these projects will help you hone your skills and showcase your expertise in the field.

Daily Twitter Analysis For A Product

Analyze Twitter data in real-time to gain insights into customer sentiments, trends, and discussions related to a specific product. By leveraging natural language processing techniques, you can extract valuable information from tweets to inform marketing strategies, product improvements, and customer engagement initiatives.

Natural Language Processing

Explore the fascinating field of natural language processing (NLP) by working on projects that involve tasks such as text classification, sentiment analysis, and language translation. Develop algorithms and models that can understand and interpret human language, paving the way for innovative applications in areas like chatbots, virtual assistants, and automated content analysis.

Warranty Cost Prediction

Use machine learning algorithms to predict warranty costs for products based on historical data and relevant factors such as product characteristics, usage patterns, and warranty terms. By accurately forecasting warranty expenses, businesses can optimize resource allocation, mitigate financial risks, and improve overall operational efficiency.

Predict Flight Delays

Build predictive models to forecast flight delays and cancellations, allowing airlines, passengers, and airports to proactively manage disruptions and minimize inconvenience. By analyzing factors like weather conditions, air traffic, and historical flight data, you can develop algorithms that provide timely insights and facilitate better decision-making in the aviation industry.

Freelancing Kit

The project mentors will provide all the ready to use agency style templates &explain to you how to use them, which can help you in your entrepreneurial journey.

Business Acumen Insights

Learn about business growth & revenue models from agency professionals. Gain first-hand experience in the operations of the agency & commercial marketing models.

Case Study Analysis

Investigate, and analyze diversified business challenges via analyzing their case studies. Build an effective, solution-deriving mindset for large-scale and complex problems.

Data Science Advance

@ Rs.65,000/-

@ Rs.35,000/-

Get Real Time Assistance

Early bird offer ends soon. Only 15 seats left

Data Science Advance

@ Rs.65,000/-

@ Rs.35,000/-

Get Real Time Assistance

Early bird offer ends soon. Only 15 seats left

Pricing Plan

Student Dedicated Pricing Plan: “The pricing plans are pocket friendly to make the programs easily accessible and affordable for all.”

₹ 5,700 Monthly

Recorded Sessions
Hands-on
Hands-on Projects
Certifications
Live Sessions
Doubt Clearing Sessions
Mentor Guidance
Placement
Mock Interview

₹ 8,500 Monthly

Recorded Sessions
Hands-on
Hands-on Projects
Certifications
Live Sessions
Doubt Clearing Sessions
Mentor Guidance
Placement
Mock Interview

₹ 14,300 Monthly

Recorded Sessions
Hands-on
Hands-on Projects
Certifications
Live Sessions
Doubt Clearing Sessions
Mentor Guidance
Placement
Mock Interview

Frequently Asked Questions

You can make the payment using any one of these modes: UPI, debit/credit card, Netbanking/Mobile banking.

You are mentored by industry experts who have been/are working in the industry for a decent time and have a strong grasp in their domain of expertise. The process is tailored to provide concept clear training and practical hands-on learning during your upskilling journey.

With No cost EMI as a mode of payment, you can easily avail the same if you qualify a basic eligibility criteria.