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Análise De Dados Para Crescimento Empresarial

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Overview

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Learning outcomes

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Course content

1

Fundamentos Da Análise De Dados

2

Coleta E Preparação De Dados

3

Análise Descritiva E Diagnóstica

4

Modelagem Preditiva Para Negócios

5

Visualização E Comunicação De Insights

Career Path

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Key facts

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Why this course

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We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United Kingdom
OH
Oliver Hughes
GB · Course completed

Absolutely brilliant! I was eager to turn raw data into growth‑driving insights, and this course delivered. The segment on A/B testing gave me the confidence to design and analyse experiments for our new product line, resulting in a 9% lift in conversion rates. The interactive notebooks and real‑world business scenarios kept the content fresh and engaging. The quality of the resources – from PDF guides to video walkthroughs – was top‑notch. I left the course feeling empowered and ready to apply data‑driven strategies across the company.

MC
Michael Carter
US · Course completed

The course exceeded my expectations. The modules on predictive modeling directly aligned with my goal of improving sales forecasts for my startup. I was able to apply the taught regression techniques to our own sales data and saw a 12% increase in forecast accuracy within two weeks. The video lectures were clear, the case studies were relevant to real‑world business challenges, and the downloadable Excel templates made implementation effortless. Overall, the learning experience was polished and highly practical – exactly what I needed to advance my analytics skill set.

SL
Sophie Laurent
CA · Course completed

I signed up hoping to get a solid intro to data analysis, and I got way more than that. The course broke down complex topics like clustering and KPI tracking into bite‑size lessons that I could follow while juggling my day job. One standout was the hands‑on project where we built a simple dashboard in Power BI to monitor customer churn; I actually used that dashboard at work the next day. The materials were up‑to‑date and the instructor’s tips on data cleaning saved me hours of hassle. It was a friendly, laid‑back vibe that kept me motivated throughout.

RK
Rahul Kapoor
IN · Course completed

The curriculum was meticulously structured, covering everything from data preprocessing to advanced visualization techniques. I appreciated the detailed walkthrough of using Python's pandas library to clean large datasets, which directly helped me streamline our monthly reporting process. The case study on market segmentation taught me how to apply K‑means clustering, and I successfully identified three new customer segments for our marketing team. Course materials were comprehensive, with well‑annotated code snippets and supplemental reading that deepened my understanding. My overall learning experience was thorough and satisfying, equipping me with actionable skills for immediate business impact.





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Recently updated!

May 2026