The increasing adoption of digitization and e-commerce changed the way data was perceived before the pandemic. The number of companies operating online almost doubled post-pandemic. This has translated into a demand for data scientists, data analysts, and other data science professionals.
So, if you decide to do a data science course now, it would be a great career decision. The data science market is projected to grow at a CAGR of 11.1%, reaching $81.43 Bn by 2027. Having the right data science skills can get you a good position as well as a lucrative salary.
Here is a list of skills you must consider learning to start a data science career. Make sure you join the Best Data Science Course in Bay Area to learn these skills.
SQL/Structured Query Language
SQL is a popular database language that helps manage data in the database system. With its help, you can add, erase, extract, and fetch data. So, no matter which job role you want to take, learning SQL is necessary for performing pre-analysis of data.
Data Visualization And Storytelling
Not everyone can understand the technicalities present in the data. So, it’s the task of the data scientist or data analyst to help the management understand it and make decisions. Knowledge of data visualization tools like Tableau, PowerBI, Matplotlib is necessary to present the data in the form of charts and graphs. Narrating and explaining the insights in the next step to data visualization.
Python Programming
When you have to choose a programming language for data science, Python is surely the best option. It has been a very useful language due to its versatility, concise codes, and efficiency. In addition, it has some amazing libraries and frameworks that help in everything right from data analysis to data cleaning data visualization to statistical and mathematical operations.
Data Wrangling
Data wrangling means converting the data from one format to another. You should be familiar with wrangling data as it is the most time-consuming task of all. It requires you to collect data from various sources and put them in one place. Then, look for missing elements and inaccuracies to make them appropriate for evaluation.
Machine Learning
Data science and machine learning go together. Machine learning is impossible without data. Machine learning is not a compulsory skill to have for data analysts, but data scientists should know about machine learning algorithms. Linear Regression, Logistic Regression, Decision Trees, Naive Bayes are some of the ML algorithms used by data scientists to organize data.
Conclusion
All these skills can be learned easily by enrolling in the best data science course in Bay Area. The job vacancies for data science have grown considerably in the last few years. However, the number of trained professionals with requisite skills is less. Learning the data science skills will help you get an edge and make you eligible for jobs in the data science field.
Searching for the Best Data Science Course in Bay Area? Go for SynergisticIT. Known for its extensive curriculum and practical training, it offers a hands-on experience to its students.
