What are the job specifications of data analysts?

First, the data analyst's job specification Big data preparation: (70% of the time)

1. Big data collection (crawler and data warehouse)

2. Verify big data

3. Data cleaning (missing values, abnormal values, garbage, standardization, duplicate records, special values, merged data sets)

4. Use Python to read CSV or TXT files, which are easy to operate data files (I/O and file string processing, separated by commas).

5. Sampling (big data. Randomness is key. )

6. Storage and archiving

Second, the work norms of data analysts' big data observation (discovering patterns and hiding associations)

1. Univariate: dot graph and jitter graph; Histogram and kernel density estimation; cumulative distribution function

2. Two variables: scatter plot, smoothing, residual analysis, logarithmic plot and tilt.

3. Multivariable: pseudo-color map, mosaic map and parallel left map.

Third, the work specifications of data analysts Big data modeling

1. Calculation and evaluation (balance feasibility and cost consumption)

2. Scale parameter model (scale optimization problem)

3. Establish probability models (binomial, Gaussian, power law, geometry, Poisson distribution and comparison with known models).

Fourthly, data analyst's job specification data mining.

1. Select the appropriate machine learning algorithm (Monte Carlo simulation, similarity calculation, principal component analysis).

2. Consider using Map/Reduce for big data.

3. Draw your conclusion and the final chart.

Cycle to the second step, to the fourth step, data analysis, and summarize the article according to the chart.

Verb (abbreviation of verb) Data analyst job specification Business-centered data analysis

Albert laszlo Barabbasi, the author of Scale-free Network Model, believes that 93% of human behaviors are predictable. Big data is a trace of human activities and a gold mine to be discovered. But before big data can work for you, you need to know what your business needs are first.

What are the standard data analysis steps? This is the standard for data analysts. Data scientists are usually excited about getting data from multiple sources and start to create charts and visualizations for analysis, ignoring the business intelligence needed for growth. Do you think you can do that? If you are still worried about getting started, you can click on other articles on this website to learn.

What are the standard data analysis steps? This is the job specification of data analysts. Data scientists are usually excited about getting data from multiple sources and start to create charts and visualizations for analysis, ignoring the business intelligence needed for growth. Can you handle it? If you are still worried that your entry is not smooth, you can click on other articles on this website to learn.