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Mentore

Tushar Jha

Analytics Lead

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Mentore

Muskan Rathore

Data & Applied Scientist

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Mentore

Pallavi Chandra

Sr. Data Analyst

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Mentore

Akshit Singh

Sr. Consultant

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Mentore

Ayushi Jain

Sr. Data Analyst

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Master Voices

Dive deep into the exciting realm of Data Analytics with top Data Analysts from Amazon, KPMG, Microsoft & various leading MNCs. These sessions offer a unique blend of fun and functional learning, ensuring you grasp complex data concepts in an engaging environment.

  • Learn directly from maestros in the field who bring their real-world experiences into live sessions.
  • These sessions are designed to keep you active in learning through hands-on activities and lively discussions.
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Jam Sesh

Drop into our jam sessions where creativity explodes and learning turns lit. It’s all about working on real-world datasets while building domain knowledge.

  • Explore collaborative sessions focusing on applying data analytics in practical settings. 
  • Get the opportunity to work on real datasets with peers, enhancing both learning and domain expertise.
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Ultimate Capstone Showdown

Test your data analytics skills in our Mega Capstone Challenge, where theory and practice collide. This rigorous challenge requires you to solve actual industry problems, applying everything you've learned in a practical, impactful way.

  • Tackle genuine problems that data analysts face in the industry today with real-world applications.
  • Achieve a 70% or higher score to open the door to our comprehensive 7-day job readiness program, fine-tuning your skills for the professional world.
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On-the-Go Data Capsules

Perfect for the busy learner, our on-the-go data capsules let you enhance your data skills at your pace, anywhere. These compact video tutorials enable continuous learning without disrupting your schedule.

  • Flexible learning includes short, practical video tutorials that fit your busy lifestyle.
  • Each capsule is crafted to provide actionable insights and skills you can immediately apply to your data projects.
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Our programs are custom-tailored for Gen-Z career aspirants. The programs aim to equip the learners with industry-ready, hands-on skills and facilitate a confident career kick-off. Focusing on practical learning and real-world application, our programs are designed to transform individuals into skilled professionals ready to tackle industry challenges.

Milestone 1 - Duration: 3 weeks

Kickstart your Data Analytics journey with Excel! From pivot tables to essential functions and from charts to dashboards learn every essential to become a Data Analyst. Excel isn't just a tool, it's your new superpower!

Week 1

Overview of Excel

  • Introduction to Data Analytics
  • Basic Features in Excel
  • Formatting in Excel
  • Dealing with Raw Data
  • Functions in Excel
Week 2

Deep Dive with Excel - II

  • Data Connectors in Excel
  • Cleaning in Power Query Editor
  • Adding Conditional Columns using Power Query Editor
  • Data Modelling and its Importance
  • Cardinality and Filter Direction in Power Pivot
Week 3

Master Advanced Excel - III

  • Pivot Tables in Excel
  • Charts in Excel
  • Slicers in Excel
  • Measures in Excel
  • Creating a Dashboard in Excel

Project

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McDonald's Restaurant Sales Analysis

As an data analyst at a McDonald, you have been tasked with Excel proficiency, develop a comprehensive dashboard. Analyze sales data to optimize staff management, identify peak days, busy hours, best selling dishes, and popular cuisines.

Excel Jam Session

In this session, you'll master Excel for data analytics interviews. Learn insider tips on using Excel effectively, tackling real world scenarios, and impressing interviewers with your data manipulation skills.

Milestone 2 - Duration: 3 weeks

Want to retrieve, clean, manipulate and analyse the data?? Do it efficiently by using SQL queries!! This milestone covers everything from basic queries to complex joins, empowering you to extract valuable insights from large datasets with ease.

Week 4

Welcome to MySQL

  • Introduction to MySQL
  • Basic MySQL Syntax
  • Clauses in MySQL
  • Operators in MySQL
  • Dealing With Null Values in MySQL
Week 5

Advanced SQL Queries and Functions in MySQL

  • Functions in MySQL
  • Case Operator in MySQL
  • Group By in MySQL
  • Having Clause in MySQL
  • Joins in MySQL
Week 6

Advanced SQL Concepts and Techniques in MySQL

  • Subqueries in MySQL
  • Union, Intersect, Except in MySQL
  • Stored Procedures in MySQL
  • Common Table Expressions(CTE)
  • Window Functions in MySQL

Project

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Swiggy Analysis Using SQL

Swiggy seeks insights from its SQL dataset. Implement sophisticated SQL queries with intricate joins for in-depth analysis and strategic decision-making.

SQL Jam Session

SQL is the backbone of data analysis. Get ready to deep dive into complex queries, optimize your understanding of database management, and leave with pro tips to stand out in SQL-based interview questions.

Milestone 3 - Duration: 3 weeks

Empower your data journey with Python! Learn Pandas, NumPy, and Matplotlib to wield the tools of data magic. Uncover insights, visualize trends, and conquer complex datasets with flair!

Week 7

Data Visualisation with Power BI

  • Introduction to Power BI
  • Data Connectors
  • Power Query Editor and Tools Power Query Editor
  • Append Queries and Merge Queries
  • Pivoting and Unpivoting of data
Week 8

Advanced-Data Modeling and DAX in Power BI

  • Data Modelling and Cardinality
  • Cross Filter Direction
  • Measures vs Calculated Columns
  • Functions in DAX
  • Cumulative Sales and Moving Average Using DAX
Week 9

Visualizations and Dashboard Creation in Power BI

  • ChatGPT for Measures
  • Column Charts and Slicers
  • Matrix vs Tables
  • Cards, KPI and Gauge Chart
  • Formatting a Dashboard

Project

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ITC Hotels Revenue Analysis

ITC aims to develop a Power BI dashboard to analyze hotel booking data across metro cities. Determine occupancy rates, average revenue per room, and RevPAR to optimize revenue strategies.

Power BI Jam Session

Visual storytelling is crucial for any data analyst. In this jam session, discover how to leverage Power BI to create impactful reports, turn data into insights, and gain a competitive edge in interviews.

Milestone 4 - Duration: 2 weeks

Master Tableau, where each data visualization tells a captivating narrative. Transform data insights into meaningful decisions that propel your success! Embark on a journey of discovery and let your data inspire brilliance!

Week 10

Data Visualisation with Tableau

  • Overview of Tableau Software
  • Connecting to Data Sources (Excel, CSV, Database)
  • Charts in Tableau
  • Sorting, Grouping, and Filtering Data
  • Using Colors, Labels, and Tooltips
Week 11

Advanced Data Visualization and Storytelling with Tableau

  • Creating Geographic Maps
  • Adding Actions to Dashboards
  • Create Data Hierarchies
  • Using Tableau Stories to Create a Narrative
  • Sharing Dashboards and Visualizations

Project

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Airbnb Property Management Optimization

Airbnb aims to develop a Tableau dashboard for optimizing rental strategies, enhancing customer satisfaction, and maximizing revenue for property owners.

Tableau Jam Session

Data visualization is an art! Learn from an industry expert how to ace Tableau interviews by showcasing your ability to present data clearly and effectively, and share advanced techniques that set you apart.

Milestone 5 - Duration: 5 weeks

Imagine you're working as a Data Analyst of an organization. In this role, you have been asked to clean the raw audible dataset for further analysis and bring it to a single simpler format.

Week 12

Maths & Applied Statistics

  • Introduction to Statistics
  • Descriptive Statistics
  • Hypothesis Testing
  • AB Testing
  • Fundamentals of Probability
Week 13

Python Basics

  • Introduction to Python for Data Analytics
  • Datatypes and Variables
  • Operators in Python
  • Control Flow in Python
  • Data Structures in Python
Week 14

Python Advance

  • Functions in Python
  • In-built Modules
  • Pickle Library
  • Introduction to Numpy
  • Statistical Functions in Arrays
Week 15

Python Libraries - I

  • Introduction to Pandas
  • Cleaning Data with Pandas
  • Merge, concatenate and join - Pandas
  • Introduction to Matplotlib
  • Charts in Matplotlib
Week 16

Python Libraries - II

  • What is WebScraping
  • BeautifulSoup and Requests Library in Python
  • Extracting Data from Tables
  • Extracting Data from Multi-Page Websites
  • Text Analysis using Python

Project

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Amazon Sentimental Analysis

Amazon seeks to analyze customer sentiments. As a data analyst, you're tasked with performing sentiment analysis and EDA on their data to gauge customer sentiments effectively.

Stats & Python Jam Session

Elevate your understanding of statistics and Python for data analysis interviews. From hypothesis testing to coding challenges, this session will prepare you to demonstrate your statistical and programming expertise.

Milestone 6 - Duration: 4 weeks

Imagine you're working as a Data Analyst of an organization. In this role, you have been asked to clean the raw audible dataset for further analysis and bring it to a single simpler format.

Week 17

Machine Learning - I

  • What is ML?
  • Applications of Machine Learning
  • Linear Regression
  • Decision Trees
  • Random Forests and Ensemble Methods
Week 18

Machine Learning - II

  • Clustering Algorithms
  • Hierarchical clustering
  • Dimensionality Reduction
  • Cross-Validation Techniques
  • Evaluation metrics and ROC curves
Week 19

AI for Data Analytics

  • Generating code & debugging errors
  • Exchanging Data Cleaning Skills
  • Crafting SQL queries
  • Optimizing Model Selection with AI-driven Methods
  • Utilizing AI for Anomaly Detection in Data Analysis
Week 20

Career, Portfolio & Inteview Preparation

  • Portfolio Creation
  • Github
  • Resume Building
  • Interview Prepration
  • Mock Interviews

Project

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HDFC Credit Card Fraud Detection

You are a data analyst at HDFC tasked with developing a credit card fraud detection system using machine learning to enhance transaction security and prevent fraudulent activities.

ML & AI Jam Session

Ready to dive into the future of data analytics? In this jam session, you'll explore machine learning and AI applications, and gain tips on how to shine in interviews by showcasing your ability to implement these cutting-edge technologies.

Python
Power BI
MS Excel
MySQL
Numpy
Pandas
Matplotlib
Chat GPT
Tableau
Seaborn
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Resume Revamp

Upgrade and polish resumes to make them stand out to potential employers.

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LinkedIn Optimization

Optimize LinkedIn profiles to improve visibility and networking opportunities.

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GitHub Mastery

Enhance GitHub profiles to showcase your projects and collaboration skills.

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Portfolio Building

Develop & refine a professional portfolio to demonstrate skills & projects.

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Pitch Perfect

Improve verbal
communication and
presentation skills.

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Mock Interviews

Prepare for job interviews through our 1:1 mock interviews and feedback.

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Job Ready

Climb the ladder that leads you to your dream job.

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Resume Revamp

Upgrade and polish resumes to make them stand out to potential employers.

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LinkedIn Optimization

Optimize LinkedIn profiles to improve visibility and networking opportunities.

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Industry-Recognized Certificate

Earn a certificate valued by top companies.

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Stand Out in Job Market

Fortify Your Profile to Increase Credibility

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Your Passport to Career Growth

Access Well-Paying Data Analyst positions

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Industry-Recognized Certificate

Earn a certificate valued by top companies.

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LearnLive Classesellips-iconSelf-Paced

Upskill yourself by gaining insights from leading professionals' vast experience.

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Practice

Sharpen your skills by learning through course assignments, live projects, and regular assessments and quizzes.

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Ask

Resolve your queries from industry experts with our dedicated one-to-one doubt-clearing sessions.

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Build

Craft a diverse portfolio and appealing resume, and optimize LinkedIn to showcase your data analytics skills.

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Secure your spot quickly — seats are filling fast! Don’t miss out — enroll now and take the first step towards transforming your career!

WSCUBE TECH GRADUATES HAVE BEEN HIRED BY
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Secure your spot quickly — seats are filling fast! Don’t miss out — enroll now and take the first step towards transforming your career!

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4.9(1,032 Reviews)

(1,032 Reviews)

Hear From Our Alumni

The online data analytics courses were well-organised and engaging. I would highly recommend it to anyone looking to gain practical skills in data analysis.

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I'm so glad I decided to join this data analytics training. The instructors were engaging and knowledgeable, and I was able to gain skills that have helped me in my career as a business analyst.

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I have been able to use the skills I learned in the online data analytics course by WsCube Tech to improve processes and decision-making within my organisation. It has been a game changer for me and my team.

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I was initially hesitant about taking an online data analysis course, but I'm so glad I did. The instructors made the material easy to understand, and I was able to apply what I learned to real-world problems. I feel much more confident now and would highly recommend the course to anyone looking to improve their abilities.

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The instructors were incredibly knowledgeable and helpful throughout the data analytics online training. I learned so much and feel much more confident in my data analysis abilities.

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The data analytics course by WsCube Tech was an excellent investment in my career. I gained practical skills and knowledge that I have been able to apply to my work every day.

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The online data analytics courses were well-organised and engaging. I would highly recommend it to anyone looking to gain practical skills in data analysis.

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I'm so glad I decided to join this data analytics training. The instructors were engaging and knowledgeable, and I was able to gain skills that have helped me in my career as a business analyst.

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I have been able to use the skills I learned in the online data analytics course by WsCube Tech to improve processes and decision-making within my organisation. It has been a game changer for me and my team.

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I was initially hesitant about taking an online data analysis course, but I'm so glad I did. The instructors made the material easy to understand, and I was able to apply what I learned to real-world problems. I feel much more confident now and would highly recommend the course to anyone looking to improve their abilities.

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