The Ultimate Data Science Roadmap: Courses and Resources

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When someone says, “A few things are not as simple as they seem.” That someone must be considering data science. Data science is considered a self-explanatory phrase, as a field of science that deals with data. But, remember that someone, it is not as simple as it seems. It is a complex process of activities to use data in various manners. Healthcare, technology, business, etc, are dependent on data to provide the best possible outcomes. Since data generation is taking place at an extraordinary pace, more data scientists are needed. Thus, data science is becoming a popular career option. Let’s discuss the roadmap to becoming an expert data scientist.

What Is Data Science?

Data Science is a sector of study that deals with organized and unorganized data to find meaningful and useful insights. These insights help to make the world better for consumers. Many kinds of scientific methodologies make the operations of data science possible. The scientific methods required are coming up after a few sentences. There are subsectors in data science like Data Analytics and Machine Learning.

Roadmap To Be An Expert In Data Science

Two routes are there that can make you an expert Data Scientist. First is the simplest and straightforward that starts from schooling and it demands you get enrolled in the bachelor’s degree program with specialization in the field.

During and after the degree, you need to get practical exposure. The best way to get that is through internships and/or projects where you apply the entire knowledge you have got from the degree program.

However, at the time of passing out of school and entering degree programs, many students are not mature enough to choose futuristic courses for themselves. If those students lack academic guidance during that time period, they might not choose the best course. This may lead them to mediocre and monotonous jobs.

Thus, the second route is for those candidates who are not fully satisfied with their current jobs and want a career switch. That route needs some courage to be disciplined and spare some extra time to Upskill or learn new skills.

Where To Start From?

Whatever the task is, starting is never easy. A field like data science is not an exception either, as its diversity does not allow us to find the point of inception easily. However, you need not worry as you are going to find the complete roadmap that leads the aspirant to the expert level of data science.

1. Mathematics

Linear Algebra and Calculus are crucial mathematical concepts in data science. So, these topics are good to commence with. Besides, probability and statistics are significant to understand for a data scientist.

2. Here Comes The Time To Level Up The Game

After getting familiar with the mathematical concepts, the time comes to explore some technical facets of the field.

3. Programming Languages

Programming languages and data science are inseparable. A professional needs to have an extensive command over a few programming languages like Python and R. There is one thing, i.e. Python for data science. This is crucial for professionals to work seamlessly.

4. Databases To Process The Data

Databases like MongoDB and SQL are a kind of store. These allow the data scientist to handle, store, and retrieve the data. Different kinds of data are possible to manage by means of these databases.

5. Data Visualization Tools

After data collection, processing, and analysis, an extremely important step of data communication comes. This needs different sorts of tools altogether called Data Visualization tools like Tableau and Power BI.

The significance of these tools is that the data by means of these tools becomes easy to understand. These tools allow the data scientist professional to present data in graphs, tables, pie charts etc forms of data presentation.

6. Other Concepts

Machine Learning (ML), Deep learning, and Natural Language Processing (NLP) are a few other concepts that a professional needs to master to be an expert.

Although it is a decent way to get expertise in data science; however, gathering all the study material and being consistent in studying is not everyone’s cup of tea. So, how would you be an expert? Well! Just like your other queries, the answer to this is here too. 

Henry Harvin Data Science Course

An online EdTech firm named Henry Harvin is an extraordinary name when the matter is of upskilling. For more than a decade, Henry Harvin has been among the market leaders in the sector. Henry Harvin offers hundreds of courses.

As far as data science and machine learning are concerned Henry Harvin offers various courses; however, the Post Graduate Program in Data Science is one of the best. This course is available in a detailed manner as its division into 29 modules leaves no stone unturned.

An impressive aspect that allows this course to stand out is the customer ratings, i.e. 4.9 out of 5. Of course, who else can judge better than the students themselves? Let’s discuss what the offerings of this course are.

• This is an extensive course with interactive live sessions of 192 hours. In case you miss any live session, you will get the recordings of the same.
• To access all the study material along with recorded lectures, you will get access to the learning management portal (LMS) for 1 year. It helps the students to study whenever they find time.
• This one-year access starts from the date of joining. In that period of one year, you will learn various aspects like Mathematical Foundation, Statistics, Python programming, R programming, Power BI, SQL, etc in detail.
• After qualifying course, you will get certificates from Henry Harvin and the National Skill Development Council (NSDC).
• Thereafter, an internship program is there to give you practical exposure to data science as well. Moreover, you will get a cent percent placement assistance.
• There are also additional benefits like resume writing training and soft skills development. You will get more than 50 sessions during your post-graduate program to improve your soft skills.

Conclusion

What oxygen means to life is what data means to today’s world. Okay,…If ṇot oxygen, it is water indeed, as many sectors depend on data for being functional in the best way. This is growing with every day passing by, and becoming a popular career option. This requires many different skill sets to be mastered by the professional who wants to excel professionally in data science. Those are mathematical concepts like linear algebra, statistics, and probability; programming languages like Python and R; data visualization tools like Power BI and Tableau, etc. If you are lacking in this cut-throat competition, a post-graduate program in data science and many other Certified Courses in Data Science from Henry Harvin is the solution. Don’t stay mediocre, choose Henry Harvin and be the best.

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FAQs

Q 1 – Is math required for data science?

Ans – Knowledge of mathematical concepts certainly helps a data scientist to work flawlessly. The list of a few important topics that are almost essential for a data scientist are statistics, linear algebra, probability, and calculus.

Q 2 – What are the useful programming languages in data science?

Ans – Many programming languages like SQL, R, and Python a data scientist needs to learn. These allow data scientists to perform various steps. Besides, database management systems like MongoDB are essential to be a competent data scientist.

Q 3 – What is the use of data visualization tools in data science?

Ans – The complex data after processing provide extremely useful insights. Data visualization tools like Tableau, Power BI, and Datawrapper communicate the results. These results are presented in the form of graphs, pie charts, and many other easy-to-understand forms.

Q 4 – Is it possible to become a data scientist without any degree in data science?

Ans – Yes, it is possible. There are numerous certifications and free resources available that make you a data scientist. Henry Harvin Educations, an online education provider, is a classic example. This institute offers several certified courses to become a data scientist, of course without a degree in data science.

Q 5 – Is data science a good career option in the future?

Ans – ‘Data science is the field of the future’, is the belief of many business experts. It makes sense as well when we try to analyze the data generation and especially the growth in data generation. The steeper growth in data generation is indicating that data science is going to be one of the best (if not the best) career options.Top of Form

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