Data Scientist vs. Data Analyst – Data Science with Python Training Course
If you want to become a data scientist, you should consider enrolling for Data Science with Python Training course from Multisoft Virtual Academy will be the best option to go with. But, wait! Do you know the difference between data scientist and data analyst job roles? Well! These two terms can be bit confusing especially when both come from the field of data. To make it simpler for you, here is an article that will understand how these two job roles differ from one another.
What Does a Data Analyst Do? – Data Science with Python Training Course
A Data Analyst is a professional who gathers data from multiple sources, performs analysis on them. These are generally businesses generate data, which are collected in forms of log files, transaction data, customer information, etc. The job of a data analyst is to transform raw business data into valuable and actionable insights. To help businesses make better decisions, data analysts utilize data manipulation techniques for analysing and interpreting complex data sets.
Key responsibilities of a Data Analyst are:
- Delivering reports
- Examining patterns
- Collaborating with Stakeholders: Data analyst collaborate with several departments in an organization, which includes salespersons and marketers. Data analysts also have to work with peers involved in data science, such as database developers and data architects.
- Consolidating data and setting up infrastructure is the most technical part of a data analyst’s job. It starts with collecting the data and consolidating them for analysis. They also develop routines, which can be automated as well as easily modified for reuse.
What Does a Data Scientist Do? – Data Science with Python Training Course
Data Scientists are professionals who can understand business opportunities and challenges; and develop solutions with the help of modern techniques and tools. They use data visualization techniques, machine learning algorithms and statistical methods for building predictive models and solving complex problems. They are skilled in deriving meaningful information from unstructured data; and can efficiently communicate important insights and information to stakeholders and business leaders.
Key responsibilities of a Data Scientist – Data Science with Python Training Course
Using a wide variety of tools like Tableau, Python, Hive, Impala, PySpark, Excel, Hadoop, etc. to develop and test new algorithms
- Building data visualizations
- Pulling, merging and analysing data
- Looking for patterns or trends
- Trying to simplify data problems and developing predictive models
- Writing up results and pulling together proofs of concepts
Now that you have understood the difference, choose for a program that actually benefits your career growth.
Why choose Multisoft Virtual Academy for Data Science with Python training course?
Multisoft Virtual Academy has been in training industry for more than 2 decades and backed by a team of global subject matter experts from around the world. When you enroll for Data Science with Python training course from Multisoft, you get the opportunity to learn from experienced industry experts and gain experience and skills in Data Science with Python with hands-on experience from real-life projects and assignments. All the courses offered by Multisoft come with perks like lifetime access to e-learning material, recorded training session videos and after training support.
The courses are delivered in live instructor led, one-on-one and corporate training sessions, where after successful completion of the Data Science with Python training course, aspirants receive a globally recognized training certificate to validate and showcase their learning and skills to employers across the world. What’s more? Multisoft after training support assists you to connect with potential employers and lucrative job opportunities in related areas, so that you can step up in the career ladder without delay.
Conclusion:
Python one of the most valuable tools in a data analyst’s toolbox. Tailored to carry out data manipulation and repetitive tasks, Python makes things considerably easy for fresh programmers. Since, Python efficiently handles the grunt work, you/data analysts have more time in hand to deal with the other necessary parts of the job. Therefore, if you want to become a data scientist, Data Science with Python training course is a must.
