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

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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

Program Curriculam

Student Dedicated Pricing Plan: “The pricing plans are pocket friendly to make the programs easily accessible and affordable for all.”
  • Installing Linux on VirtualBox
  • Basic LinuxCommands
  • Security and Networking
  • UsingCLI
  • Linux Editors RemoteControlling of a System
  • Setting up and using YARN
  • Advanced LinuxConcept
  • VersionControl
  • Types of Version Control System
  • IntroductiontoSVN
  • IntroductiontoGit
  • GitLifecycle
  • CommonGitcommands
  • Working with branches in Git
  • Mergingbranches
  • Resolvingmergeconflicts
  • Gitworkflow
  • PythonRefresher
  • PythonBasics
  • Python Data Structures
  • Python Programming Fundamentals
  • File handling in Python
  • Numpy
  • Pandas
  • SciPy
  • Matplotlib
  • Seaborn
  • Centraltendency
  • Variability
  • Hypothesis testing
  • Anova
  • Correlation
  • Regression
  • Probability definitions and notation
  • Joint probabilities
  • The sum rule, conditional probability, and the product rule
  • Bayes theorem
  • Supervised Learning
  • Classification
  • Regression
  • Estimation
  • Unsupervised Learning
  • Clustering
  • Prediction
  • Reinforcement Learning
  • Decision Making
  • 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
  • Introduction to Big Data and Apache Spark
  • Apache Spark framework andRDDs
  • Py Spark SQL and Data Frames
  • Introduction to Hive
  • 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
  • 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
  • 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
  • Introduction to Deep Learning and Neural Networks
  • Multi-layered Neural Networks
  • Artificial Neural Networks and various methods Deep Learning libraries
  • 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

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

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.”

Self Paced

Learn at your own pace
5,700 Monthly
  • Recorded Sessions
  • Hands-on
  • Hands-on Projects
  • Certifications
  • Live Sessions
  • Doubt Clearing Sessions
  • Mentor Guidance
  • Placement
  • Mock Interview

Mentor Led

Get Real Time Assistance
8,500 Monthly
  • Recorded Sessions
  • Hands-on
  • Hands-on Projects
  • Certifications
  • Live Sessions
  • Doubt Clearing Sessions
  • Mentor Guidance
  • Placement
  • Mock Interview

Professional

Be Placement Ready
14,300 Monthly
  • Recorded Sessions
  • Hands-on
  • Hands-on Projects
  • Certifications
  • Live Sessions
  • Doubt Clearing Sessions
  • Mentor Guidance
  • Placement
  • Mock Interview
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Frequently Ask 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.

STUDENTS

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