A complete guide to boosting your dreams to become a statistician

Roles and responsibilities: Statisticians are professionals who can apply statistical methods to deal with real-world problems. Statisticians are expected to complete tasks daily depending on the industry and organization. The main task of the statistician is to interpret data in a way that can inform organizational and business strategies. It can be understanding the changes in consumer behavior and buying trends. They collect, analyze and interpret data, identify trends and relationships in data, design processes for data collection, communicate findings to the stakeholders, advise organizational and business strategies and also assist in the decision-making processes.

Average salary (pPer annum): US$93,270

Qualifications:

• Should have bachelors or master’s degree in mathematics, statistics, computer science, or material sciences
• Should be an expert in statistical analysis
• Capable of collecting, and manipulating data
• Should be able to communicate effectively
• Should think critically and help in decision making.

Top 3 Online Courses:

Advanced statistics for data science (Coursera): This course provides an opportunity to learn probability, expectations, conditional probabilities, distributions, confidence intervals, bootstrapping, binomial proportions, and more. It gives a brief about the matrix algebra of linear regression models. The skills gained from the course are R programming, linear, biostatics, statistical hypothesis testing, etc.

Statistical thinking for data science and analytics (edx): This course will build a statistical foundation, statistical thinking in designing data collection, derive insights from visualizing data, obtaining and supporting evidence for data-based decisions from visualizing data models. It equips students with conditional probability, Bayesian modeling, linear regression, and data visualization.

Statistics for data science and business analysis (udemy): The course makes you understand the fundamentals of statistics, help you with data plots, calculates correlation and covariance, estimate confidence intervals, makes data-driven decisions, carry outs regression analysis, makes you familiar with data science with Python and R, performs hypothesis testing, and gives a view of underling underling dummy variables.

Top 3 educational institutionsInstitutes Offering a withProgramdegree:

• Bachelor’s in Computer Science along with Data Science and Economics: Massachusetts Institute of Technology.
• BSc in Data Science and Masters in Data Science: Imperial College London
• Bachelor’s and Master’s in Data Science: ESSEC – CentraleSupelec

Top 5 Recruiters for This Job:

Apple: Apple is an American American multinational technology company that is an expert in consumer electronics, computer software, and online services. Statisticians are required to apply statistical methods to deal with real-world problems. Statisticians are expected to complete tasks on a daily basis depending on the industry and organization.

Capital One: Capital One is a financial corporation bank that is an expert in credit cards, loans, banking, and savings accounts. StatStatistician’siancians main task is to interpret data in a way that can inform organizational and business strategies. It can be understanding the changes in consumer behavior and buying trends.

Deloitte: Deloitte is a leading provider of audit and assurance, consultancy, financial advisory, and tax services and etc. This information is stored in the form of data and so data architects are needed for the company to build complex computer database systems that are accessible, useful, and secure for a better understanding of the businesses.

Merkle: Merkle is a technology-enabled data-driven customer experience management company. Statisticians collect, analyze and interpret data, identify trends and relationships in Teradata, design processes for data collection, communicate findings to the stakeholders, advise organizational and business strategies, and also assist in the decision-making processes.

Bank of America: It is an American American multinational bank that relies on huge amounts of data architects for building complex computer database systems that are accessible, useful, and secure the processes of the bank and its data by understanding the business need and exploring the existing data structure.