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Data Science Part-Time

viaZindua School
3.67 Rating
Difficulty
Beginner
Cost
N/A
Format
Instructor Led
Delivery
Online
Time Commitment
30 weeks 20 hrs/week

Summary

Zindua's Data Science program offers a comprehensive live online experience in data science and machine learning. Participants explore Python programming, data analysis, and deep learning foundations through hands-on projects. The curriculum includes tools like Numpy, Pandas, and Matplotlib, along with practical skills in SQL, Excel, and Tableau. Ideal for aspiring data scientists and machine learning engineers, this course provides a robust understanding of regression, classification, and more.

  • Before You Learn / Who This Course Is For
    • Ideal for aspiring data scientists and engineers

    • Math & Statistics background recommended

    • STEM degree enrollment or completion beneficial

  • What to Expect
    • Live online instruction with hands-on projects

    • Learn Python, Numpy, Pandas, and more

    • Explore machine learning techniques and model evaluation

  • What You'll Achieve
    • Gain proficiency in data science tools and techniques

    • Develop skills in data analysis and visualization

Certifications covered by this course

No certifications are covered by this course.

Course Reviews

3.67 rating (3 reviews)
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J

James Osolo

Student 2023

April 15, 2023
Learning Management System

The LMS system is easy to navigate and learn.There are daily and weekly projects which improves on the students capability to learn and remember key conceptsIt also assist the Technical mentors in monitoring the progress of the students

L

Lilian Ngugi

Student 2023

April 15, 2023
Curriculum and Instructors

Curriculum: The curriculum at Zindua School for Data Science program is well-structured and covers a wide range of topics, including statistics, machine learning, data visualization, and data engineering. The curriculum is designed to be hands-on, with ample opportunities to apply the concepts learned through real-world projects and case studies. The school also offers elective courses to tailor the learning experience to individual interests, which I found to be a great feature.
Instructors: The instructors at Zindua School for Data Science Program are experienced professionals who are knowledgeable and passionate about data science. They bring real-world experience to the classroom, making the learning process practical and relevant. The instructors are approachable, responsive, and provide personalized feedback, which has been invaluable in my learning journey. They also foster a collaborative learning environment, encouraging discussions and group work, which has helped me develop valuable teamwork skills.

N

Nicki Fernandez

Student 2022

March 13, 2023
Does not offer any support in timely matter and uses outdated source materials

I’ve started a course with the Zindua school for data science, Excel, SQL, and python. For over 2 weeks I have requested support for the outdated course materials. I sent 3 messages. Two via their website and one via email giving them all of my contact information and screenshots and details of the issue I am having. I thought I would never hear back. Finally received a response via email after 2 weeks and was told to download an app and then contact the respondent there so I did. I sent all required data there as well. And no support yet. I also noticed that their coursework on their website is not their own material. It doesn’t matter if it’s free, it’s a waste of time. I would not recommend the school.

Rukia of Zindua School

Customer Support

April 07, 2023

We'd love to make up for your poor Free Course experience

It is quite sad to hear the bad experience and support received by the reviewer. I'd like to believe that this is a mistake on our side and an experience we would not want experienced by any other student whether they are part of our Free Courses or our advanced core programs. We have contacted the reviewer and offered them free personalised support on their Data Science journey to make up for all inconveniences experienced.
On the content, Zindua School leverages open-source content to service its some of its coding courses. We attribute these courses to the creators and we peg projects to get students to practice skilled learned. We review content annually so it is expected that when some tools are deprecated before our scheduled reviews, some students might experience issues. For our core/paid programs, course reviews and updates are done monthly. Students also get personalised technical mentorship where technical mentors can give better guidance and feedback beyond the content.
The only thing to note is that our team receives way more requests than it can handle for free courses (All core/paid students have personal technical mentors). This means that it some times takes long if a student wants personal support. This is no excuse for poor support but a clarification that we are a growing startup and we are gradually improving the available support to our growing bootcamp demand. What we are doing today is running open workshops for Free Course Students on Tuesdays where select technical mentors go through course content to offer additional value beyond the Free course content.
Once again, apologies for the poor experience, and I hope our offer for personalised support on a course of your choosing can ease your heart from this poor experience.

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