01
There was a screenshot that was widely circulated the other day with the title “Universal Career” and it read:
Everyone laughs, but in the end they have to accept the fact:
Many people in the workplace become more mediocre, not better, as they age.
For example, SOME time ago, I received a phone call from a classmate, P:
Five years after graduation, he was looking for a job with a fresh graduate, but only one of them got an offer.
After reviewing the interview process, we found that when the interviewer proposed to analyze the business data, P had no clue and looked at a loss.
However, the junior student gave a clear idea and solution, and skillfully used excel, Python, R, SAS, SPSS and other software to visualize the data.
It was then that P realized that having data analysis skills could transform your career.
02
With the advent of the era of big data, the demand for data analysis continues to rise in most companies, and data analyst has now become one of the hot jobs.
According to the report “Digital Transformation of China’s Economy: Talent and Employment” released by tsinghua University’s School of Economics and Management:
The current talent gap in the field of big data in China is as high as 1.5 million, and will reach 2 million by 2025.
Although many people around me know about data analysts, they still stay in the TV series “The First Half of My Life” :
Luo Zijun, the heroine, has changed from a housewife who has been unemployed for 10 years to a white-collar worker.
But what really helped Luo complete his transformation was becoming a data analyst.
A few days ago, some Internet users made a rough calculation that they could hardly afford luxury bags and customized shoes if their annual salary was less than 1 million yuan.
Do data analysts really make $1 million a year?
At present, data analyst is praised as the “new oil” by The Economic Journal in 2017, and data-oriented work has become one of the aspirations of many people.
Overseas, the average annual salary of a data analyst is $175,000, equivalent to 1 million yuan.
In China, data analysts earn 20-30 per cent more than other positions at the same level;
With less than 1 year of work experience as a data analyst, basic salary can start at 10000 YUAN/month; More than 2 years data analysis engineer, salary up to 30000 yuan/month.
If you look at job boards, you’ll find that data analytics are increasingly applied to all types of jobs, which means that no matter what industry you’re in, you’ll need data analytics skills.
However, many zero-based entry-level data analysts will inevitably have such a question: such a formidable thing, will it be difficult to learn?
In fact, you only need to have a certain understanding of the business, can skillfully use the tools at hand, such as Excel, SQL, Python, and targeted data analysis;
And you will need to translate the results of the data analysis into action.
Therefore, I suggest finding a reliable tutor to take you from beginning to mastery, which can greatly improve your learning efficiency and avoid wasting too much time.
At the same time, I recommend you to listen to the free, time-limited live broadcast of the data Analyst course carefully prepared by netease Cloud Classroom.
Free live open classes
May 19th, May 20th and May 21st at 8:00 p.m
If you missed the live broadcast, you can watch the replay
May 19th at 8 p.m
· Use Python to analyze Tangian channels and buy and sell point predictions
1. Scenario and Tools: Pandas decompiles the Donchian channel indicator 2. Process processing: Modeling and visualization of turtle strategy analysis 3. Analysis results: buy and sell point search and trade backtracking
May 20, 8pm ** · Epidemic data mining with Python **
1. Interpretation of epidemic data structure 2. Analysis of current epidemic situation and development trend \
3. Visual expression of epidemic dynamic data \
4. Make epidemic maps
May 21 at 8 p.m
· Analyze Bollinger channel and buy/sell point predictions in Python
1. Scene and Tools: Pandas decompose the Bolling band channel structure 2. Process: Turtle strategy analysis modeling and visualization 3. Analysis results: Buy and sell point search and trade backtracking
Past wonderful video frequency (can see replay) ****
1. Data analysis necessary skills: actual association rules
2. Zero Basics Python – Use Seaborn to create advanced visual reports
3. Quick data analysis: text data feature extraction and modeling practice
4. Zero-based quantitative Analysis — Do quantitative trading with the Python online platform
5. Master the classical algorithm of machine learning — support vector machine in one class
6. Getting started with Python: Creating visual reports with Matplotlib
7. Practical case of data analysis: News classification by Bayesian method
8. When charts are animated, make bar race charts in Python
9. Use Jupyter Notebook to discover the effect of advertising
10.60分钟 clarifying logical rule reasoning — neural network algorithm
11. Visual interpretation of machine learning classical algorithm – clustering algorithm
12. Popular interpretation of machine learning essential classical algorithm tree model
13. Use Python to learn RSI relative strength indicator to find stock buy and sell signals
14. Use Python to do time series data analysis of financial combat
15. Predicting credit card transaction risk: An example of data fraud Detection
16. Quantitative Finance with Python analysis — KDJ Indicators and buy/sell point forecasts
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