Data science is the most popular field nowadays. Companies all over the world are using Data Science to solve different problems efficiently, which means there’s a high demand for data scientists, and that too usually at high salaries.
If you’re curious about becoming a data scientist, you’re not alone. In this article, we’ll explain everything you need to know about starting a career in data science, including job roles, classes for Data Science, and much more. So let us begin further without wasting much time.
Classes For Data Science – Key Takeaways
- Getting insights into the job role and responsibilities of a Data scientist.
- Understanding the skills needed to become a data scientist.
- Understanding How You can become a Data Scientist without taking classes in Data Science.
What Is A Data Scientist?
Before moving further toward classes for Data Science, let us first understand what basically a Data Scientist is, this will help you to understand the basic job role and responsibilities of Data Scientists.
So Data scientists analyze large amounts of data to find patterns, trends, and insights that can help businesses make better decisions. They use techniques from mathematics, statistics, and computer science to clean and process data and extract meaningful information. Their work often involves programming, data visualization, and communicating insights to stakeholders. Overall, data scientists play a crucial role in using data to drive business strategies and improve business performance.
Data Scientists vs Data Analysts
- Data Analysts- Data analysts focus on understanding data that already exists, aiming to provide practical insights that businesses can act upon. They often use straightforward models and tools to analyze data and draw conclusions.
- Data Scientist- On the other hand, data scientists have a broader role. They not only analyze existing data but also play a crucial part in deciding and predicting future outcomes. Data scientists use more advanced tools and techniques, including machine learning algorithms, to extract deeper insights and make predictions based on data. They are involved in both formulating questions and finding solutions, making their role more comprehensive compared to data analysts.
Why Choose Data Scientist As A Career?
Choosing a career in data science can be exciting for several reasons. It offers a challenging and stimulating work environment, perfect for those who are intellectual, curious, and enjoy working with data and technology. Data scientists stay updated with the latest tech trends in a fast-paced world.
Talking about the recent state, The job market for data scientists is booming rapidly. The big data industry is expected to grow significantly, reaching $103 billion by 2027. The US job market also shows a 36% increase in data science jobs by 2031, much higher than the national average job growth.
This career is highly ranked by experts even many big Organizations like U.S. News & World Report place data scientist roles among the top jobs in technology and overall best jobs in America for 2022. Plus, the average salary for data scientists is around $102k per year, making it a financially rewarding career path.
What Are The Skills Needed For Data Scientists?
We have covered a separate article on this topic explaining each and every skill required to become a data Scientist, so we’ll summarize all the important skills here to give you a brief overview of all the skills.
To become a data scientist, you need a blend of both hard skills (technical skills) and soft skills (personality and behavioral skills). This combination is essential for success in the field of data science.
Hard Skills-
Hard skills include technical skills, required to become a successful data scientist.
- Python
- R
- Statistics and mathematics
- SQL
- Data visualization Knowledge
- Machine learning
- Deep learning
- Big data
- Cloud computing
Soft Skills- Soft skills basically include human behavioral skills, below are some most important soft skills needed to become a successful Data Scientist-
- Good Communication Skills
- Critical thinking
- Business acumen
- Problem-solving Skill
- Ability to work in Team
Steps To Become A Data Scientist Without Taking Classes For Data Science
Excited to start your journey as a data scientist? But don’t know where to start, right?
Below, we’ve shared the Seven most important steps to start your journey as a data scientist. Following these steps regularly will help you start your journey of data science from scratch.
1. Learn Data Wrangling, Data Visualization And Reporting
As a data scientist, you’ll often work with big and complex data sets. To make sense of this huge amount of data, you’ll need to learn data wrangling. This involves cleaning, organizing, and transforming raw data into a usable format for analysis.
pandas in Python is an example of a commonly used tool for data wrangling.
Now it comes to presenting your findings effectively, for this, you’ll need to learn reporting and data visualization. Data visualization helps you to clearly present your data, making it easy to understand by other fellow employees and stakeholders. There are many data visualization tools available, each offering different options based on what you want to achieve. You can select anyone according to your choice and requirements.
2. Work On Your Mathematics, Statics And Machine Learning
While having a degree in specific fields isn’t mandatory, you should have a good knowledge of certain subjects like mathematics and statistics to start your career in this field.
For instance, knowing calculus can help you in creating optimization algorithms for machine learning, Understanding concepts like gradient descent helps refine machine learning models and statistics concepts will help you study graphs and charts enabling you to make predictions and decisions based on that.
3. Learn To Code
Coding also plays an essential part in the Data Scientists job, as it allows data scientists to manipulate and analyze large datasets efficiently. With coding skills, you can write programs to clean, transform, and visualize data, as well as build machine learning models for predictive analysis. Coding also helps data scientists to automate repetitive tasks saving time and effort.
Python and R are the two favorite languages of Data Scientists, known for their flexibility and versatility.
Apart from this, being a data scientist you should also have knowledge of SQL commands and Operations as it will help you to store and retrieve data in an efficient and time-saving way.
Some other coding languages you can learn to become a data Scientist include- C/C++, Java, JavaScript, Swift, GoLang, MATLAB, SAS, and many more.
4. Understand Databases
As mentioned earlier, databases are crucial for storing large amounts of data in an organized way. They also help in quickly and efficiently storing and retrieving data, which saves time and effort of data scientists.
As a data scientist, dealing with large amounts of data is a daily task. That’s why it’s important to learn languages like SQL. SQL allows you to handle structured data, query databases, experiment with stored data, and much more, making your work easier and more efficient.
5. Learn to Work With Big Data
As a data scientist, you’ll frequently handle large datasets. Nowadays, with the vast amount of data being generated, managing and processing such massive datasets has become more challenging.
However, skilled data scientists can extract valuable insights from these large datasets using cloud platforms like AWS, Microsoft Azure, and Google Cloud. So learning these platforms can greatly enhance your career. Additionally, tools such as Apache Spark are also helpful for processing, analyzing, and implementing machine learning on big data.
6. Practice, Get Experience, And Meet Fellow Data Scientists
Just like in any other career, experience and knowledge are crucial for getting a job at a reputable company. Engaging in core projects allows you to acquire valuable skills and insights related to data science. Additionally, joining community channels helps you stay connected with data scientists worldwide, enabling you to learn from their experiences and broaden your knowledge base.
7. Apply for An Internship
Once You have all the required skills mentioned above and you’re confident with your skills to fulfill the requirements of a data scientist role, you can start applying for internships or full-time positions in companies that require data Scientists.
To apply you first need to have a good resume and an attractive job profile on portals like- LinkedIn, Naukri.com, Indeed, etc. Add your core projects and highlight your top skills in your resume this will help you to stand out in the recruiter’s eye.
Learn Data Science With PW Skills
Still, confused about how to start and where to start from? Don’t worry PW Skills is here for You!
Enroll in our PW Skills Comprehensive Data Science with Generative AI course to embark on your journey as a data scientist.
The key Features of this Course include-
- Learning all the relevant skills like- Python, Statistics, Machine learning, Deep learning, Generative AI, SQL, Data visualization, and much more.
- Learning with expert mentors from top MNCs.
- Regular Doubt sessions to solve all your doubts timely.
- Daily practice sheets for enhancing your learning.
- Working on core projects, that will help in gaining practical experience.
- PW’s wide alumni support, helping you on every stage of life.
- 100% job assistance guarantee after course completion.
So what are you waiting for, enroll now and start your journey today!
Classes For Data Science FAQs
Which Course is best for Data Science?
Best Data science course can vary depending on the demands and requirements of an individual, but if you are looking for a course with expert mentors, an updated curriculum, and 100% job assistance guarantee, then PW Skills Data Science with Generative AI course stands number one on the list.
Can I Learn Data Science on My Own?
Yes, an individual can learn data science on their own by following 7 simple steps mentioned above, following these steps will help you to start your career in the field of data science without any assistance.
What is the duration of a data science course?
The duration of the Data Science course can vary depending on the course curriculum and institute, talking about PW skills- Our Data Science course is 6 Months long, covering everything required in the modern world to become a data scientist.
