Uncodemy vs Edureka: Which Data Analytics Course Is Better?

LEARNING FIT CHECK

[ ] I live or work within easy reach of Noida or Delhi
[ ] I have finished an online course before without dropping out
[ ] I learn well from screen-sharing and chat support
[ ] I prefer asking questions face to face
[ ] My work hours change often

Near a centre + prefer face to face -> classroom batch
Remote / irregular hours + self-driven -> online-first

QUESTIONS TO ASK BOTH PROVIDERS

1. Which tools are taught, and for how many hours each?
2. How many projects, on what kind of data?
3. Who reviews my projects, and how detailed is feedback?
4. Is SQL practice graded or just demonstrated?
5. What does career support actually include?
6. Total fee, EMI terms and refund policy in writing?
7. Can I see a sample project from a past learner?

-- Monthly active customers and month-over-month change
WITH monthly AS (
  SELECT
    DATE_TRUNC('month', order_date) AS month,
    COUNT(DISTINCT customer_id)     AS active_customers
  FROM orders
  GROUP BY DATE_TRUNC('month', order_date)
)
SELECT
  month,
  active_customers,
  active_customers - LAG(active_customers) OVER (ORDER BY month) AS change
FROM monthly
ORDER BY month;

SELF-TEST: can you solve this after week 4 of any course?

Tables:
  orders(order_id, customer_id, order_date, amount)

Question:
  For each customer, show their first order date and
  the total amount of all their orders.

One answer:
  SELECT customer_id,
         MIN(order_date) AS first_order,
         SUM(amount)     AS total_amount
  FROM orders
  GROUP BY customer_id;

PROJECT REVIEW RUBRIC (score 1-5)

Business question clearly stated      : __
Data cleaning documented              : __
Correct SQL / formulas                : __
Dashboard is readable in 10 seconds   : __
Insight supported by evidence         : __
Recommendation is specific            : __
TOTAL (/30)                           : __

Use this on sample projects from both providers.

import pandas as pd

orders = pd.read_csv("orders.csv")

# Typical cleaning a real project should show
orders = orders.drop_duplicates(subset="order_id")
orders["order_date"] = pd.to_datetime(orders["order_date"], errors="coerce")
orders = orders.dropna(subset=["order_date", "amount"])
orders["region"] = orders["region"].str.strip().str.title()
orders = orders[orders["amount"] > 0]

print(orders.describe())

DATA ANALYTICS COURSE SCORECARD (1-5)

Criterion                       Uncodemy   Edureka
------------------------------  --------   -------
Format fits my routine             __         __
Excel coverage                     __         __
SQL depth                          __         __
Power BI / Tableau coverage        __         __
Python + statistics                __         __
Project realism                    __         __
Feedback quality and speed         __         __
Career support clarity             __         __
TOTAL (/40)                        __         __

COST BREAKDOWN (fill from written quotes)

                         Uncodemy      Edureka
Course fee               ₹_______      ₹_______
Taxes                    ₹_______      ₹_______
EMI extra charges        ₹_______      ₹_______
Certification exam fees  ₹_______      ₹_______
Travel (per month)       ₹_______      ₹_______
TOTAL                    ₹_______      ₹_______

DECISION

Higher score  : ____________ (__/40)
Lower cost    : ____________
Better fit for how I learn: ____________

Final choice  : ____________
Reason (one line): ______________________