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v6.6.150

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Data Analytics Masters 2026 - From Basics To Advanced

Master Data Analysis: Learn Python, EDA, Stats, Excel, SQL, Power BI/Tableau, Fabric, Predictive Analytics & ETL Basics

  1. Topics
  2. IT & Software
  3. Data Analysis & Insights

Data Analytics Masters 2026 - From Basics To Advanced

InstructorDr. Satyajit Pattnaik
Duration67h 36m
Students40.3K
Rating4.3 (3,863)
Sponsored
Price
$17.99
Coupon
None
No active coupon currently available
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Open on UdemyCurrent Udemy price

Coupon history

Comidoc has tracked 21 coupons for this course since 2025, last checked 13d ago. On average, a new coupon appears roughly every 17 days.

Coupon codeDiscountAddedStatusLifetime
65D978F2DA9119152766100% offAug 12, 202610:42 AM UTCExpired4d 5h
C89632C96789CEB83D7B100% offJul 31, 202605:42 PM UTCExpired2d 20h
A2BD408F48DE9E503FA3100% offMar 26, 202612:56 AM UTCExpired~11 daysRan full term
AEAEFF93A89F790C554B100% offFeb 23, 202603:46 AM UTCExpired~11 daysRan full term
92715EB0BF87CC7F75D1100% offFeb 17, 202605:45 AM UTCExpired~17 daysRan full term
87B2853CD7E31857F411100% offFeb 4, 202602:16 AM UTCExpired~5 daysRan full term
Comidoc Analysis

Data Analytics Toolset Roadmap

Strengths

Diverse Tool Integration

The curriculum integrates modern technologies including Microsoft Fabric, KQL, and Generative AI tools like ChatGPT and Copilot.

Project-Led Learning

Instruction includes specific end-to-end projects such as Customer Churn Analysis and Banking Risk Analysis to apply analytical concepts.

Editorial course preview

What the public course preview actually shows

This view highlights a concrete, legible example from the course presentation.

Preview 1 of 1

An overhead shot of a workspace featuring a keyboard, monitor, and a large sheet covered in sticky notes with diagrams and text.

Selected from the course's public promotional preview. These images document visible presentation material only; they do not represent the complete paid curriculum.

Limitations

Inconsistent Instructional Depth

Some learners noted that complex topics like Tableau and Power BI lacked sufficient detail, while others found Python and SQL chapters required supplemental study.

Instructional Delivery Style

One signal suggests a tendency to read from slides, which can make practical exercises difficult to follow if not performed alongside the instructor. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.

Best suited to

  • Career switchers seeking a broad toolset
  • Beginners looking for an end-to-end roadmap
  • Learners interested in AI-integrated analytics

Less suited to

  • Those seeking deep software engineering or advanced database expertise
  • Learners who require highly detailed, step-by-step technical instruction

Comidoc Score

6.7/10

Worth considering
Beginner-friendly

Comidoc verdict

The curriculum covers statistical foundations through various data tools to predictive modeling and modern technologies like Microsoft Fabric.

The strength of this program lies in its breadth, covering essential tools such as Python, SQL, and several visualization platforms. This is supplemented by practical project modules and an emphasis on integrating generative AI into analytical workflows. However, the depth of instruction varies; while foundational elements are accessible, more advanced technical topics may require external resources to achieve true proficiency.

This course is best suited for beginners or career switchers who want a broad overview of the industry's most common tools and need a structured roadmap to begin their journey.

Score breakdown

Curriculum depth
7.3

While the curriculum covers a vast array of topics, some signals suggest depth may be limited in core areas like SQL and Python. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.

Applied learning
8.8

The inclusion of multiple end-to-end projects and hands-on exercises provides a strong practical framework for the curriculum.

Clarity & experience
5.0

Instructional signals are mixed; while some find the explanations clear, others report difficulty following practical tasks and a reliance on reading slides.

Currency & reliability
5.8

The curriculum includes modern tools like Microsoft Fabric and generative AI, though the long-term reliability of specific technical updates is not explicitly verified.

Audience fit
5.8

The course aligns well with beginner goals, though some learners found the transition to complex topics challenging.

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