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Análise De Dados

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Overview

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Learning outcomes

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Course content

1

Introdução À Análise De Dados

2

Preparação De Dados

3

Visualização De Dados

4

Análise Estatística

5

Apresentação De Resultados

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.

4.8
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United States
MC
Michael Carter
US · Course completed

The Análise De Dados course exceeded my expectations. The structured modules on data cleaning, statistical modeling, and visualization aligned perfectly with my goal of becoming a data analyst. I especially appreciated the hands‑on labs where we used Python’s pandas library to transform a messy sales dataset into a clean, ready‑to‑report format. The case study on customer churn gave me a concrete example of applying logistic regression, which I later used in my current role to improve retention forecasts. All course materials were up‑to‑date, clearly written, and the supplemental video tutorials reinforced key concepts. Overall, the learning experience was professional and highly satisfying – I feel fully equipped to tackle real‑world data projects.

SL
Sophie Laurent
CA · Course completed

I took the Análise De Dados class because I wanted to add some solid data‑science chops to my marketing background, and it definitely delivered. The mix of short video lessons and interactive notebooks made the content easy to digest. I learned how to run exploratory data analysis in R, and the assignment where we built a dashboard with Tableau was super useful—now I can show my boss clear visual insights from our campaign data. The course material was relevant and the real‑world examples felt spot‑on. It was a relaxed, friendly vibe, and I left feeling confident about using data to drive decisions.

FW
Felix Wagner
DE · Course completed

From a detailed perspective, this course offered a comprehensive roadmap for mastering data analysis. The curriculum began with foundational statistics, progressed through data preprocessing techniques using SQL and Python, and culminated in advanced machine‑learning algorithms. A standout module was the time‑series forecasting segment, where I applied ARIMA models to predict energy consumption—a skill directly applicable to my work in renewable‑energy planning. The provided e‑books and code repositories were meticulously curated, ensuring every concept was backed by practical examples. My overall learning experience was thorough and intellectually rewarding; the depth of content matched my high expectations.

RK
Rahul Kapoor
IN · Course completed

Wow! The Análise De Dados course was exactly what I needed to jump‑start my data‑analytics career. The enthusiastic teaching style kept me motivated, and the real‑world projects—like cleaning a large CSV file of e‑commerce transactions and building a predictive model for sales—gave me confidence to tackle similar challenges at my new job. I especially loved the weekly quizzes that reinforced the material and the instant feedback on my coding assignments. The resources (slides, datasets, and cheat sheets) were spot‑on and easy to follow. I'm thrilled with how quickly I can now turn raw data into actionable insights—truly a fantastic learning experience!





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Recently updated!

May 2026