**Love Maths?** **One Of These 8 Careers Could Be Perfect For You!**

- Statistician. Virat Kohli is now India's third-most successful Test captain behind M.S Dhoni and Sourav Ganguly.
- Mathematician.
- Operations Research Analyst.
- Actuary.
- Data Analyst/ Business Analyst/ Big Data Analyst.
- Economist.
- Market Researcher.
- Psychometrician.

**Love Maths?** **One Of These 8 Careers Could Be Perfect For You!**

- Statistician. Virat Kohli is now India's third-most successful Test captain behind M.S Dhoni and Sourav Ganguly.
- Mathematician.
- Operations Research Analyst.
- Actuary.
- Data Analyst/ Business Analyst/ Big Data Analyst.
- Economist.
- Market Researcher.
- Psychometrician.

**6 Powerful Careers for Mathematics and Statistics Majors**

- Data Scientist.
- Statistician.
- Actuary.
- Data Analyst.
- Operations Research Analyst.
- Computational Scientist.

Level Of The Course

In fact, most beginning statistics courses are quite easy. **Statistics stands out as being the more difficult type of math** mostly because of the abstract concepts and ideas that you will get to later on in your study.

**These are our picks for the best data analytics course:**

- Best Overall: Data Analyst Nanodegree (Udacity)
- Data Analyst with R (DataCamp)
- Data Analytics Immersion (Thinkful)
- Data Science Specialization (Coursera)
- Business Analytics Specialization (Coursera)

Numerical intelligence is **the key ability wherever one needs to solve numerical problems on a regular basis and make decisions based on numerical information** (as for example the position of financial advisor, salesman, financial manager, accountant, data analyst etc.).

**Common career paths for economics graduates include:**

- Economist.
- Financial risk analyst.
- Data analyst.
- Financial planner.
- Accountant.
- Economic researcher.
- Financial consultant.
- Investment analyst.

Data analysts rely on skills like programming in R or Python, querying databases with SQL, and performing statistical analysis. **While these skills can be challenging, it's totally possible to learn them (and land a data analyst job) with the right mentality and plan of action**.

Data Science Course Eligibility

Course | Eligibility |
---|---|

MSc Data Science | BA, BSc, BSc Mathematics, BSc Statistics, BTech, BE, etc with at least 60% marks. Students must have a background in maths, statistics, computer science, or data science. Admission: Merit + Personal Interview or Entrance Test in some Universities. |

According to Glassdoor, the average salary of a **Data Scientist** in the US is $100,000 per annum. As per Glassdoor, the average salary of a data analyst in India is 6 Lac rupees per annum. In India, the average salary of a Data Scientist is 9 Lac rupees per annum.

**You can make use of the playlists to lean skills needed for a data analyst in 3 months**. Remember this important point doing practical work is important than theory. Spend 20% time on theory and 80% time on implementing it.

**Here are the best jobs after BSc Physics:**

- Research Associate/Assistant.
- Space Scientist.
- Technician.
- Data Analyst.
- Lab Supervisor.
- Actuary.
- Radiologist.
- Lecturer/Professor.

The payoff for entering the rigorous field of Applied Mathematics is **a set of solid career choices and financial independence**. The average salary commanded by an entry-level Data Analyst is above $80,000, with Senior Data Analysts earning, on average, more than $100,000.

**Career Options for Mathematics Students: Top 13 Career Opportunities in India**

- Professor.
- Statistician.
- Mathematician.
- Data Analyst / Business Analyst.
- Chartered Accountant.
- Investment Banker.
- Data Scientist.
- Astronomer.

Simply put, **a data analyst makes sense out of existing data, whereas a data scientist works on new ways of capturing and analyzing data to be used by the analysts**. If you love numbers and statistics as well as computer programming, either path could be a good fit for your career goals.

As with any scientific career, **data analysts require a strong grounding in mathematics to succeed**. It may be necessary to review and, if necessary, improve your math skills before learning how to become a data analyst.

In India, the average entry-level data scientist income is **511,468 rupees per annum** for a recent graduate. A data scientist in their early career with 1-4 years of experience earns an average of Rs. 773,442 per year.

3 We Love Maths Because **It Develops Problem-Solving Skills**

Maths builds up your child's ability to come up with a plan and strategies to solve problems. It's an important skill that they can practise throughout their life and from a very early age.

The syllabus of Data Science is constituted of three main components: **Big Data, Machine Learning and Modelling in Data Science**. The major topics in Data Science syllabus are Statistics, Coding, Business Intelligence, Data Structures, Mathematics, Machine Learning, Algorithms, amongst others.

Many times, though top-level understand the importance of data analysis, they do not extend the desired support to their employees. **Constant pressure and lack of support from the top and lower-level employees** are among the most significant data analytics challenges.

To put it in a precise manner, **Data analysis is a difficult task**. Amongst all else, the colossal volume of work, deadline constraints, and job demand from multiple sources and levels of management make a data scientist job stressful.

Dated : 29-May-2022

Category : Education