Data Analyst Mentorship for Absolute Beginner

Data Analyst Mentorship for Absolute Beginner, available at Free, has an average rating of 4.45, with 14 lectures, based on 174 reviews, and has 4377 subscribers.

You will learn about Understand What to Consider before starting as a beginner Know Where to Find Dataset for your personal projects Identify the Courses You need to take as a Beginner What Mentors will Tell You This course is ideal for individuals who are Student considering learning data analysis or Professionals learning data analysis or If you considering a career switch to Data Analysis It is particularly useful for Student considering learning data analysis or Professionals learning data analysis or If you considering a career switch to Data Analysis.

Enroll now: Data Analyst Mentorship for Absolute Beginner

Summary

Title: Data Analyst Mentorship for Absolute Beginner

Price: Free

Average Rating: 4.45

Number of Lectures: 14

Number of Published Lectures: 14

Number of Curriculum Items: 14

Number of Published Curriculum Objects: 14

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Understand What to Consider before starting as a beginner
Know Where to Find Dataset for your personal projects
Identify the Courses You need to take as a Beginner
What Mentors will Tell You

Who Should Attend

Student considering learning data analysis
Professionals learning data analysis
If you considering a career switch to Data Analysis

Target Audiences

Student considering learning data analysis
Professionals learning data analysis
If you considering a career switch to Data Analysis

There are lots of resources online today for learning Data Analysis but we lack mentorship resources that can help beginners and intermediate learners start the right way.

I have been through the pain as a self-taught data analyst, scientist, and data management specialist. I have mentored and still mentor a lot of people today on careers in Data Analysis, Data Science, and Data Management.

This course is a compression of lots of experiences and advice that I believe every beginner should know before starting out in the field of data analysis, data science, and data management and governance.

It is always advised that you take this course very seriously and take all the assignments and tasks. The course will enrich your mind beyond the scope of the available resources out there today.

I made this for free because I am passionate about raising skilled analysts that can address the transformation need of Africa and the world entirely.

The data gap is getting wider, we need enough skilled means to mine the heart of data and bring out its intent.

I look forward to releasing another free and short mentorship guide like this and I will encourage you should rate this course if you truly found value in it.

During this course, you will find out how to connect with me and I will be more than willing to support you in your learning journey. I am also aware that the course does not address all concerns and mentorship needs, so feel free to engage in the discussion section and let’s co-learn and co-share together.

The future is of abundance and only those who can acquire and master the right skill will benefit greatly.

Don’t just take this course, I will encourage you to share it with your friends and recommend it. they will appreciate you for doing so.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Before You Start

Lecture 1: Get the Best Value from This

Chapter 3: Mentorship Digest

Lecture 1: Start With Business Value

Lecture 2: Search For Value Driven Projects in Your Sector of Interest

Lecture 3: Search for The Tools

Lecture 4: Use Google, Ask Questions

Lecture 5: Personal Projects and Documentation

Chapter 4: Where to Get Data for Your Personal Projects

Lecture 1: How and Where to Get Data for Project

Lecture 2: How to Get Data from Kaggle

Lecture 3: How to Get Data from UCI Machine Learning Repository

Lecture 4: How to Get Data from OpenML Datasets Repository

Lecture 5: How to Get Data from Dataflair Blog Dataset

Chapter 5: This is the Beginning

Lecture 1: What Course Should You Take

Lecture 2: More Details on Courses to Take

Instructors

Olanrewaju Oyinbooke
ExSenior Cloud Advocate @ Microsoft| Data Scientist

Rating Distribution

1 stars: 2 votes
2 stars: 8 votes
3 stars: 28 votes
4 stars: 56 votes
5 stars: 80 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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