It is not only about Tools
Analytics is an exciting field, but it can feel somewhat overwhelming.
You'll encounter various aspects when it comes to playing with the Data :
- Data Wrangling: Mastering tools like SQL, Python, R, and others becomes crucial for cleaning, organizing, and shaping raw data into a usable format.
- Data Visualization: Transforming insights into clear and impactful visuals is essential. Popular options include Tableau and Power BI, but remember, other powerful tools like ggplot exist.
- In-depth Analysis: Diving deeper with techniques like machine learning (e.g., predicting customer churn or segmenting customers) allows you to tackle intricate business challenges.
While this can seem a lot. We will use the 80/20 rules to get to our destination.
Why? Because it is only half of the equation to be successful.
Data analysis is like a treasure hunt: the tools (SQL, Python, etc.) help you unearth the gold (insights), but processes are the map that guides you efficiently.
From the intake of the requirements, to building a model, to the go live and post go live we will touch as well touch on processes that will lead you to succeess.
But, let's be honest... this is a lot to remember! FEAR NOT
I have a secret weapon for you to hold all that knowledge together!
Unlock the transformative power of data!
Hey there! I am Renaud.
Data Analyst and BI Developer with over 15 years of experience helping businesses across various industries make data-driven decisions.
I've collaborated with companies at all stages of growth, from budding startups to industry leaders and I'm passionate about sharing my insights to empower you to do the same.
And..
My Secret Weapon
Like some of us, I struggled holding all that knowledge together.
But
Tell them what you want to achieve
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