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Data
AA
by Amina Ahmed

Data Science

Master the foundations of Data Science, from Python coding to building machine learning models, and emerge ready to tackle real-world challenges

About Course

Master the foundations of Data Science, from Python coding to building machine learning models, and emerge ready to tackle real-world challenges
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What I will learn?

  • Week 1-2: Introduction to Data Science, Data Exploration, and Visualization
  • Week 3-4: Statistical Analysis and Hypothesis Testing
  • Week 5-6: Machine Learning Fundamentals
  • Week 7-8: Real-world Data Science Projects and Applications

Course Content

Basics of data manipulation and analysis

Machine learning algorithms and their applications

Building and evaluating predictive models

Case studies and projects in various industries

Student Ratings & Reviews

5.0
Total 1 Rating
5
1 Rating
4
0 Rating
3
0 Rating
2
0 Rating
1
0 Rating
DS
Data Seekho
5 months ago
test review

What our students say about us

Amina's teaching style is fantastic. The projects were challenging but incredibly rewarding.

Usman K

The course content is well-structured, and Amina's insights into real-world applications are invaluable.

Fatima A

I recommend this course to anyone serious about a career in data science. Amina is a great mentor.

Ahmed R

The machine learning section was particularly insightful. Amina's expertise shines through.

Sara M

As a Muslim student, I appreciate the inclusive learning environment Data Seekho provides.

Bilal S

5.00(1 Ratings)
Wishlist
₨ 30,000 ₨ 50,000
  • Level
    Beginner
  • Total Enrolled
    7
  • Duration
    1344 hours
  • Last Updated
    20 January 2024
  • Certificate
    Certificate of completion

Amina Ahmed

Data Scientist

Amina Ahmed, an accomplished data scientist with industry expertise, guides learners through the intricacies of data science with a focus on practical applications.

Requirements

  • Python programming skills (Python course completion is recommended)
  • Understanding of basic statistics and mathematics

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Who is this course for?

  • Data enthusiasts, analysts, and professionals seeking a career in Data Science

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