• Use of standard Python or R libraries for machine learning, including scikit-learn, pandas, matplotlib.
• Basic Hadoop understanding and interaction. Could list files, upload/download them, knows different storage formats.

• Read news in social channels, periodically post content there.
• Knows how to add tracking (such as Google Analytics) to a web page and then read its reports.

• Understands concepts of random variable, distribution, mean, average, standard deviation and variance.
• Could calculate mean of normal distribution and probability of independent event combination.

• Could SSH to remote servers.
• Basic knowledge of unix commands: ls, sort, uniq, join.
• Could execute other programs from the command line.

Can easily read financial statements, pinpoint influential metrics, create workable buiness models and projections.

• Does not yet have full theoretical knowledge to work full time in accounting, but equipped enough to be dangerous.

• Able to present results in Excel with charts using default color scheme.
• Could read information from multiple dashboards.
• Understanding of simple dashboard setup with QlikView/Tableau/Spotfire or others.

• Use of standard Python or R libraries for machine learning, including scikit-learn, pandas, matplotlib.
• Basic Hadoop understanding and interaction. Could list files, upload/download them, knows different storage formats.

• Read news in social channels, periodically post content there.
• Knows how to add tracking (such as Google Analytics) to a web page and then read its reports.

• Understands concepts of random variable, distribution, mean, average, standard deviation and variance.
• Could calculate mean of normal distribution and probability of independent event combination.

• Could SSH to remote servers.
• Basic knowledge of unix commands: ls, sort, uniq, join.
• Could execute other programs from the command line.

Can easily read financial statements, pinpoint influential metrics, create workable buiness models and projections.

• Does not yet have full theoretical knowledge to work full time in accounting, but equipped enough to be dangerous.

• Able to present results in Excel with charts using default color scheme.
• Could read information from multiple dashboards.
• Understanding of simple dashboard setup with QlikView/Tableau/Spotfire or others.

• Use of standard Python or R libraries for machine learning, including scikit-learn, pandas, matplotlib.
• Basic Hadoop understanding and interaction. Could list files, upload/download them, knows different storage formats.

• Read news in social channels, periodically post content there.
• Knows how to add tracking (such as Google Analytics) to a web page and then read its reports.

• Understands concepts of random variable, distribution, mean, average, standard deviation and variance.
• Could calculate mean of normal distribution and probability of independent event combination.

• Could SSH to remote servers.
• Basic knowledge of unix commands: ls, sort, uniq, join.
• Could execute other programs from the command line.

Can easily read financial statements, pinpoint influential metrics, create workable buiness models and projections.

• Does not yet have full theoretical knowledge to work full time in accounting, but equipped enough to be dangerous.

• Able to present results in Excel with charts using default color scheme.
• Could read information from multiple dashboards.
• Understanding of simple dashboard setup with QlikView/Tableau/Spotfire or others.