Professional Certificate Course in Data Science

  • Designed for individuals who want enter the field of Data Science.
  • Open to students with a Bachelor's degree or a diploma
  • No coding experience required
  • Easy EMI options available
  • Project-based live learning
  • Two specialisations available

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Overview

Industry-leading course in Data Science reverse-engineered to fit companies' needs

comprehensive course is designed for individuals who want to gain a solid understanding of data science and its applications. Our experienced instructors will guide you through the fundamentals of data science, including data mining, machine learning, and statistical analysis. By the end of the course, you will have the skills and knowledge to apply data science techniques to real-world problems and make informed decisions based on data.

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Get proficient in all relevant tools

Discover the power of data with the right tools. Learn how to use industry-standard tools such as Python, R, and SQL, TensorFlow, and other tools to make data-driven decisions and excel in your career in Data Science.

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The best instructors who are working in the top companies across the globe

instructors are experienced data scientists with a wealth of industry experience. They will provide you with in-depth knowledge and practical training to help you succeed in the field of data science.

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Priyanshu Bikas

Absolutedata Analytics

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Mohit Sahu

TEKsystems

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Sachin Mohan

Zee5

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Subhodeep Mukharjee

Amazon

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Punit Singh

Cisco

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Rahul Thakur

Unacademy

Your learning journey

The course is divided into three semesters consisting of the basics, advanced, and placement preparation. It starts with introductory mathematics, statistics, probability, and Python for a strong foundation of the basics. Next, it moves on to core skills like advanced probability & statistics and data analysis. The last segment consists of advanced SQL, machine learning, and deep learning. Here's an overview of the extremely industry relevant curriculum that you'll be taught: MSc in Data Science - Newton School

Mathematics
    Beginner
  • Number Systems
  • Percentage, Ratio & Proportion
  • Simple and Compound Interest
  • Profit & Loss
  • Linear Equations
  • Quadratic Equations
  • Set, Relations & Functions
    Intermediate
  • Basic Counting Principles
  • Basic Probability Theory
  • Conditional Probability & Bayes Theorem
  • Basic Statistics
  • Data Interpretation
  • Descriptive Statistics
    Advanced
  • Random Variables
  • Distribution Functions
  • Correlation, Covariance & Independence
  • Population & Sampling
  • Confidence Interval
  • Hypotheis Testing
  • Inferential Statistics

Data Analytics & Visualisation Using Tools
    Excel
  • Introduction to Excel
  • Merging and Looking Up Data
  • Decision Making with IF
  • Preparing Data for Analysis
  • Pivot Tables
  • Visualising Data with Charts
  • Forecasting
  • WhatIf Analysis
  • Advanced Functions
  • Dashboards
    SQL
  • Introduction to Data & Databases
  • Entities & Relations
  • Introduction to Tables
  • SQL General Query Commands
  • Joins
  • Subqueries
  • SQL Scripts
  • Views
  • Functions
  • Triggers
  • ORM using SQLAlchemy
  • Overview of other Databases
  • Operator Constraints
  • Windows Functions in SQL
  • Database Normalisation
  • Derived Tables
  • Group BY
  • Like
  • Views
  • Aggregation operations
  • Filtering
    Data Visualisation
  • Introduction to Tableau
  • Groups and Sets
  • Table Calculations
  • Data Preparation
  • Data Analysis
  • Animations
  • Advanced Mapping Techniques

Data Analytics & Visualisation with Python
    Introduction to Programming in Python
  • Basics of Python
  • Advanced Python - OOP, DS
  • NumPy Pandas
  • Data Processing
  • Plotting & Visualisation using Matplotlib & Seaborn
  • Data Aggregation & Grouping
  • Time Series Data
  • Data Wrangling
  • Web scraping and API

Machine Learning
    Fundamentals
  • Introduction to Machine Learning
  • Regression
  • Classification
  • Probability Estimation & Dimensionality Reduction
  • Decision Trees & Ensemble Methods
    Application
  • Intro to Sklearn & Tensorflow
  • Regression using Sklearn & Tensorflow
  • Classification using Sklearn & Tensorflow
  • Decision Trees using Sklearn & Tensorflow
  • Using NN with Tensorflow

Deep Learning
    Fundamentals
  • Intro to DL
  • Intro to Perceptron & Neural Networks
  • Gradient Descent Algorithms
    Applications
  • Natural Language Processing
  • CNN-1,2
  • Computer Vision
  • OpenCV

Data Engineering (Optional)

  • Spark
  • Data Lakes

What is the duration of the Professional Data Science Certification course by Newton School?

The course takes 8-9 months to complete for Data Science, and 12-14 months to complete for Advanced Data Science, including mock interviews after the learning journey with instructors.

What is the course fee for the Professional Data Science Certification course at Newton School?

The course fee is ₹2.10* lakhs (including GST) and includes access to all course materials, hands-on exercises and capstone projects, and the certification for Data Science, and ₹2.99* lakhs (including GST) for Advanced Data Science.

Is there any minimum education qualification required for the programme?

Bachelor's degree or diploma is required to apply for the course. A basic understanding of statistics and programming is recommended, but not required.

Who will be teaching the Professional Data Science Certification course at Newton School?

The course will be taught by experienced data scientists with a wealth of industry experience, working at top companies around the globe.

What will I learn in the Professional Data Science Certification course at Newton School?

You will learn the key concepts and techniques of data science, including data mining, machine learning, statistical analysis, deep learning and big data and cloud computing.

What will I receive after completing the Professional Data Science Certification course at Newton School?

Upon successful completion of the course, you will receive a professional certification from Newton School.

What tools and software would be taught or used during the course?

You will learn tools, languages, and software such as SQL, Python, PowerBI, Pandas, NumPy, Tableau, Matplotlib, Excel, and TensorFlow during the course. For more details, please go through the curriculum.

What career opportunities will be available to me after completing the Professional Data Science Certification course at Newton School?

Students from our course will be prepared for a wide range of career opportunities, including data analyst, data engineer, machine learning engineer, and more.

What will I receive after completing the Professional Data Science Certification course at Newton School?

Upon successful completion of the course, you will receive a professional certification from Newton School.

Is there any support available if I have any issues during the course?

Yes, our team of experts is always available to provide technical support and help with any issues you may have.

Start your Data Science journey today!

Next batch starts from Mar, 2023

Don't miss this opportunity to take your career to the next level. Enroll in the Professional Data Science Certification course at Newton School today!

Science Certification

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