🌞

I hope you managed to rest during the holidays and gather your strength, not just feast on salads.

My vacation was like evenings on a farm near Uryupinsk. I experienced snowstorms, frosts, and rains. We went sledding, skated on the lake, built a snowman, steamed in the bathhouse, and cleared a good amount of snow. I managed to rest, but getting back into the work rhythm is still hard 😁

Let's go over the plan for 2026 and how it came about 🤔

Before the holidays, I was cleaning my email, and there... it was a bustling marketplace.

Everyone shouting: "Learn neural networks!", "Python urgently!" My head was a dump of fragmented knowledge.

From this predicament, I sketched out a map of posts that I promised you earlier.

Below are the topics I will cover — things that have been useful to me in practice and how I applied this knowledge:

1️⃣ January–April — foundation: Excel, SQL, dashboards.
2️⃣ May–July — skill growth: Python, portfolio, resume.
3️⃣ August–October — boyar thinking: product, business, roles.
4️⃣ November–December — putting it all together into a single system and summing up.

We won't jump between courses, but step by step follow one path.

As soon as a Plan appears, the garbage dump in your head turns into a Path.

If you have friends who want to enter analytics or fill their knowledge storehouses, share this post with them. Let them study the topics and understand if this is their path.

How were your holidays? 👇

@data_dzen🙂