DS Power BI Workshop AU

Business Intelligence Analyst at Philips, with over 7 years of experience. 
Previous roles include Business Analyst at Harrier, Nice, and Jade. 
Specializes in harnessing data to drive business decisions and strategies.

Over 5 years of experience in data science and software development 
Currently working as a Data Scientist at Accenture 
Expertise in Machine Learning, Data Analysis and Algorithm Development

4 Day Certification Course

Shubhra was a teacher taught from scratch at Newton with 1:1 doubt sessions that helped her land a job with a 120% hike.

Shubra Gupta

From a Teacher to a Business Analyst

Vrushali transitioned from pharmaceuticals to data science, driven by newfound opportunities and her passion for making a difference

Vrushali Darade

Pharma to IT: Vrushali's Journey to Becoming a Data Scientist

An Infosys professional with a deep passion for Python. Taking a 1.5-year career break, and enrolled in Newton School's Data Science program and placed at Albatroz solutions.

Ashutosh Jha

From Infosys Analyst to Data Science Team Lead

Understand the fundamentals of data cleaning, transformation, and creating visuals to analyse data effectively.

Basic Data Analytics in PowerBI

Master advanced analytics techniques, DAX functions, and create interactive dashboards for impactful insights.

Advanced Analytics and Dashboarding in PowerBI

Receive personalised guidance and feedback based on your Skill Assessment Test (SAT) report, expert advice to refine your approach to learning SQL and data science, and tips on enhancing your resume to stand out in the data field.

Mentor Session

Discover the step-by-step path to becoming a Data Scientist, with actionable tips for landing your dream job in the data field

Unlock the Data Science Roadmap

Unlock your certificate at Rs.199

Learn Power BI - 30th June

DS Workshop AU

​Santhosh is an accomplished analytics professional with over 10 years of experience in business analytics and statistical problem-solving. He currently serves as an Analytics Lead at Flipkart, where he leverages his expertise in Python, SQL, R, Tableau, and predictive modeling to drive data-driven decisions.

4 Day Certification

Understand the fundamentals of databases and DBMS concepts, including database vs. spreadsheets, table schemas, and mastering SQL essentials like creating, reading, updating, deleting, and merging data.

Database Fundamentals

Master advanced SQL techniques, including filtering, joins, and aggregation functions, while solving real-world problems like Google and Amazon-style interview questions.

SQL Deep Dive

Claim your certificate

SQL for Data science 16th June

Lead Data Scientist at Scinaptic.AI 
Expert at Data Science, Machine Learning and Artifical Intelligence 
Worked at Companies like Accenture , Ford and PharmEasy

Lead Data Scientist - Scienaptic | Ex- PharmEasy

SQL for Data science 9th June

Data Science Self Paced Course

Senior Data Analyst - Kantar | Ex - Highradius

Self-Paced Courses

Get a sneak peek into the exciting developments in Data Science Job Market.

Explore the Future of Data Science

Learn the technical skills that aspiring Data Scientists need to stay ahead in their careers.

Key Skills for Success

Discover how Data Science is applied to solve real-world Industry problems.

Real-world Applications

This topic covers: Basic Visualization in Tableau, Basic Visualization Quiz

Basic Visualization

Case Study

This topic covers: Dashboard and Stories, Dashboarding Quiz

Dashboarding

This topic covers: Data Filtering Part - 1, Data Filtering Part - 2, Data Filter Quiz

Data Filtering

This topic covers: Course Intro, Introduction to Tableau, Tableau Intro Quiz

Introduction to Tableau

This topic covers: Tableau Calculations - Calculation Fields, Tableau Calculations Quiz, Tableau Calculations - Parameters and Advanced Fields...

Tableau Calculations

Tableau A-Z: Hands-On Tableau Course for Data Science

Self-Paced Course

This topic covers: Introduction to ER-Model, Concepts of ER-Model Intro, Components of ER-Model...

ER modeling/Database Design

Indexing

This topic covers: Introduction To Database

Introduction To Database

This topic covers: Data Normalization, Normal Forms

Normalization

Query optimizaiton

This topic covers: SQL Questions - 1, SQL Questions - 2, Clearance Assignment - SQL

SQL Questions

This topic covers: Structured Query Language

SQL introduction

This topic covers: Logical Database Design

Schema

This topic covers: Transaction and Concurrency

Transactions

Introduction to Databases and SQL Querying

Software engineer with 5 years of experience 
Currently working at Microsoft, previously worked at Arcesium.

This topic covers: What is Python Programming, Your First Python Program, Python Operators...

Python Basics

This topic covers: If ELSE, Elif, Nested IF ELSE

Conditonal Statement

This topic covers: Built in Functions, User Defined Functions, Lambda Functions

Functions

This topic covers: For Loop, While Loop, Nested Loops...

Loops

This topic covers: List, List Comprehension, Tuples...

Data Structures

This topic covers: Array Basics, 2d Array, 3d Array...

NumPy

This topic covers: Series and Dataframes Basics, Data Cleaning, Data Aggregation...

Pandas

This topic covers: Univariate Analysis, Bivariate Analysis

Data Visualization

Complete Python Course For Beginners

Newton Edge

Get a sneak peek into the exciting developments in Job Market.

Explore the Future of Tech

Learn the technical skills that you need to stay ahead in their careers.

Discover how tech is applied to solve real-world Industry problems.

This module covers: Basics of Programming (2 hours 39 minutes), Conditional Statements (1 hour 37 minutes), Loops (2 hours 33 minutes)...

Starting with C++

This module covers: Arrays (7 hours 12 minutes), Strings (1 hour 6 minutes), Recursion (1 hour 46 minutes)...

Arrays and Recursion

This module covers: Bit Manipulation (3 hours 15 minutes), OOPs & Exception Handling (2 hours 35 minutes), Hashing (2 hours 23 minutes)...

OOPs, Hashing & Linked Lists

This module covers: Stack (8 hours 1 minute), Queue (3 hours 38 minutes), Trees (19 hours 54 minutes)

Stacks, Queues & Trees

This module covers: Binary Heap (6 hours 12 minutes), Trie (3 hours 18 minutes), Graphs (9 hours 27 minutes)

Heaps & Graphs

This module covers: Greedy Algorithm (2 hours 39 minutes), Dynamic Programming (13 hours 26 minutes), Backtracking (3 hours 48 minutes)...

DP and Greedy Algorithms

Newton Edge: Ultimate DSA with C++

Seasoned data professional with extensive experience in the finance, research, and banking sectors. 
Driving Data Strategy for Product & Marketing Insights | Ex-American Express, Ex-BlackRock, Ex-S&P Global

SQL for Data science 14th July