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Trainers at ExcelR are passionate about training, and carry 12+ years of industry experience.
Sharpen your skills by engaging in coding contests that involve collaborating with your peers.
Your placement preparation starts from Day 1 and prepares you for guaranteed job interviews across our 2000+ partner companies until you receive your first job offer.
Learners will work on real-life scenarios from various domains to get application knowledge.
Python
R
SQL
Pandas
Statistics
Hypothesis Testing
A/B Testing
Machine Learning
Regression
Clustering
Data Storytelling
CRISP-DM
Power BI
Tableau
Python
R
Jupyter Notebook
VS Code
SQL Workbench
PostreSQL
MySQL
MS Excel
Pandas
Numpy
Matplotib
Seaborn
ChatGPT
Google Gemini
Use Advanced Excel and foundational statistics to analyze employee data, identify high-risk roles, and predict attrition drivers. Skills: MS Excel (Pivot Tables, VLOOKUP), Descriptive Statistics.
Use Advanced SQL (Joins, Aggregations) to extract key sales metrics (e.g., top-selling products, regional performance) from a simulated database. Skills: SQL Mastery, Data Extraction.
Use Python (Pandas & Seaborn) to clean a customer dataset, perform Exploratory Data Analysis (EDA), and segment customers for targeted marketing campaigns. Skills: Python (Pandas, Matplotlib), Data Cleaning, EDA.
Build an interactive, executive-level dashboard using Power BI. Focus on designing complex data models and creating calculated measures using DAX. Skills: Power BI, Data Modeling, DAX.
Implement a basic Machine Learning classification model in Python to predict which customers are likely to leave and analyze the factors driving churn. Skills: Python, Machine Learning (Classification), Statistical Modeling.
An end-to-end Capstone Project. Define the problem, use SQL to pull data, use Python for anomaly detection, and create a final prescriptive BI Report for the finance team. Skills: End-to-End Data Pipeline, Advanced BI, Prescriptive Analytics.
Scenario & Challenge-A sales manager reports that the daily sales dashboard in Power BI is showing incorrect regional totals. You have 30 minutes to identify and fix the DAX formula error and the incorrect data joins in the model.
Scenario & Challenge- An E-commerce company is debating a 10% price drop on its best-selling product. You are given two months of sales data and must use Python and A/B Testing analysis to determine if the drop will lead to a net profit increase.
Scenario & Challenge- The CEO asks: "Why are we losing 15% of our high-value customers, and what is the single best action to stop it?" You must write the necessary SQL queries to pull the relevant data, use a basic ML model to predict churn risk, and present a prescriptive strategy in a 5-minute pitch.
MIS Executive / Data Reporting Analyst Rs3.0 L – Rs4.5 L
Junior Financial Data Analyst Rs.4.5 L – Rs.6.5 L
Business Intelligence (BI) Analyst Rs6.5 L – Rs10 L
Senior Financial Data Analyst Rs10 L – Rs16 L
Analytics Consultant / Lead Rs16 L – Rs25 L+
Analytics Manager - FP&A Rs20 L – Rs35 L+
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Get Trained (Live Mentorship)
Submit Assignments (Daily Practice)
Work on Live Industry Projects
Master Case Studies & Analytics
Portfolio & Bootcamps
Career Support
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