So, what is this self? The way I like to explain self is by calling the same function in an albeit different way. Below,

Look at all 168 hours of the week. If it’s a priority, you might be able to deploy your kid’s early morning sleep time or weekend nap session to career-building work, to say nothing of the time spent sitting on the sidelines of kid activities. One ironic side effect of using unorthodox time? People might just assume you’re working incredibly hard, my takeaway from a study about how men at a consulting firm faked 80-hour workweeks.

But even more intriguingly, many of these schedules weren’t packed with back-to-back meetings. Henderson, for instance, walked to work while listening to audiobooks. Then he built in space — “I like a few breathers throughout the day,” he said. “I find having a couple of half-hour breaks is much less stressful than having constant, back-to-back meetings.” Feeling rushed and frantic is about a scarcity of time.

At level one, a data science aspirant should be able to work with datasets generally presented in comma-separated values (CSV) file format. They should have competency in data basics; data visualization; and linear regression.

Certain activities add to your supply of “career capital” — the connections, credentials, skills, and resources that make you stand out. This capital can be deployed to land promotions, new and better jobs, to attract investors or collaborators, or even just to control time. (If you’re the world’s top expert on something, anyone needing your advice will meet when you want to meet). So make time daily to pay in to your career bank account. You can do this through deliberate practice of a professional skill, reaching out to a new contact, doing a favor for someone in your professional network, or producing something that establishes thought leadership.

And our myAccount balance increases by 100 as expected. So it is the same function we have called. Now, that could only happen if self and myAccount are exactly the same object. When I call myAccount.deposit(100) Python provides the same object myAccount to the function call as the argument self. And that is why self.balance in the function definition really refers to myAccount.balance.

Be able to understand the essential components of good data visualization. Be able to use data visualization tools including Python’s matplotlib and seaborn packages; and R’s ggplot2 package. Should understand the essential components of good data visualization:

But even more intriguingly, many of these schedules weren’t packed with back-to-back meetings. Henderson, for instance, walked to work while listening to audiobooks. Then he built in space — “I like a few breathers throughout the day,” he said. “I find having a couple of half-hour breaks is much less stressful than having constant, back-to-back meetings.” Feeling rushed and frantic is about a scarcity of time.

Before discussing the timeline for data science competency, let us first consider the three levels of data science. This section will discuss what I consider to be the three levels of data science competency, namely: level 1 (basic level); level 2 (intermediate level); and level 3 (advanced level). Competency increases from level 1 to 3. We shall use Python as the default language, even though other platforms such as R, SAS, and MATLAB could be used as programming languages for data science.

It’s easier to make smart choices when you know how you usually spend your time. Track a week to see what time is available for work, what time could be available for work, and what time isn’t.

This article will discuss the typical timeline for data science competency. The time required to gain competency in data science depends on the level of competency. In Section II, we will discuss the three levels of data science. In Section III, we discuss the time required for gaining data science competency based on the level of interest. A short summary completes the article.

Within the potential work time, see what time is available for focused work — such as when a partner or sitter can cover. Time that’s likely to be interrupted is better suited to something like tending your inbox.

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he murder of George Floyd’s, white people’s anti-racist social media posts have ballooned. My ex-girlfriend was, at best ambivalent to “solidarity by tweet” because these white people are tweeting from the comforts of their home — but doing nothing else for racial justice. To make racial justice and change a reality takes work — and activism — and that won’t happen while you’re sitting behind a computer screen.

Damon Brown, an entrepreneur and author, wound up homeschooling his two boys this year because of Covid. To stay productive within his limited time, he set his daily expectations by asking “What are the three most important things?” He told me that he realized, “If I get those three things done over the next 24 hours, then whatever else happens during the day, it will be fine.” His three things tended to be challenging, if doable. The day we talked he’d finished up a contribution to a book, written a short breaking news article, and sent a set of pitches to another editor. He took advantage of quiet moments when the boys were occupied, or whenever he had a lot of energy.

A few years ago, I got to weigh in on several high-profile entrepreneurs’ daily schedules for Inc. magazine. Most weren’t working around the clock. Alexis Ohanian, co-founder of Reddit, logged about 8.5 hours on the day he tracked. Eric Ryan, the serial entrepreneur behind Method, Olly, and Welly, worked 8 hours. Cal Henderson, co-founder and CTO of Slack, worked 7 hours.

Three things a day might not feel like much, but that’s 15 things per workweek, or 750 per year — which explains how Brown also wrote a book this year, grew his coaching practice, and gave several virtual keynotes.