Data Analyst Mentorship for Absolute Beginner

Name: Data Analyst Mentorship for Absolute Beginner
Rating: 4.4 (246 reviews)

What Online Courses Wouldn't Teach You

Created byOlanrewaju Oyinbooke

Last updated 3/2022

English

What you'll 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

Course content

5 sections • 14 lectures • 30m total length

Introduction1:48
Begin your data analysis journey as a beginner by learning how to approach the field, ask questions, and navigate available resources.

Start With Business Value5:32
Learn to drive data analysis by business value, linking dashboards and insights to revenue growth, cost reduction, process optimization, and performance reporting.
Search For Value Driven Projects in Your Sector of Interest1:51
Identify value driven projects in your sector of interest by researching how value is delivered across manufacturing, fintech, and banking, and use dashboards to measure impact.
Search for The Tools2:03
Discover the tools that drive data analytics and business intelligence in enterprise settings, learn Python basics, and explore reference model choices to deliver impactful projects.
Use Google, Ask Questions1:32
Learn how to ask questions effectively and use Google to search for quality, multi-source information, while avoiding unreliable content and optimizing search strategies for data analysis.
Personal Projects and Documentation2:34
Learn how beginners frame personal projects and documentation by asking clear questions, preparing and obtaining data, processing and addressing discrepancies, analyzing findings, and documenting recommendations to create business value.

How and Where to Get Data for Project0:46
Learn where and how to source data for your projects across multiple sites, then follow a guided exercise to practice obtaining and preparing datasets.
How to Get Data from Kaggle1:57
Discover how to get data for your projects from Kaggle and Google search, evaluate dataset size, data category like e-commerce, and review licenses and metadata.
How to Get Data from UCI Machine Learning Repository1:56
Explore how to locate and download data from the UCI machine learning repository, browse popular and newest datasets, view metadata and sample features, and study dataset details for classification tasks.
How to Get Data from OpenML Datasets Repository1:32
Discover how to get data from the OpenML datasets repository, download datasets with their features, and explore attributes used for tasks like credit risk classification.
How to Get Data from Dataflair Blog Dataset2:19
Discover how to locate datasets from the DataFlair blog, evaluate sources like Chicago and UCI, and craft business use cases and project ideas tailored for a data analyst beginner.

What Course Should You Take1:13
Identify suitable beginner data analytics options, including the Google Data Analytics course on Coursera, and decide what course to take to build practical, foundational skills.
More Details on Courses to Take4:17
Identify courses for beginners based on your skill level, starting with Excel for data analysis and free resources, then explore Coursera and the Google data analytics program with datasets.

Requirements

No prior knowledge is required for this course

Description

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.

Who this course is for:

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

Data Analyst Mentorship for Absolute Beginner

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 2min

Before You Start1 lecture • 1min

Mentorship Digest5 lectures • 14min

Where to Get Data for Your Personal Projects5 lectures • 9min

This is the Beginning2 lectures • 6min

Requirements

Description

Who this course is for: