Maths and Statistics Course for Data Science (MSC)

Get ready to excel in the field of data analysis and data science with our advanced Math and Statistics course. This statistics course is prepared for students and professionals seeking a better hold in the field of data analysis.

This course would be a wonderful addition if you are working on predictive modeling, exploratory data analysis, or optimizing algorithms.

Statistics for Data Science course in Delhi is a critical subject that provides the foundational knowledge necessary to extract meaningful insights from data. It combines statistical theories and methods with data science applications. This will enable professionals like you to analyze data, make informed decisions, and drive business strategies.

Why Statistics for Data Science is Important?

Statistics offers important tools and methodologies to extract valuable insights from data. It forms the basis of data science. Statistics is essential for knowing how data spreads, recognizing patterns, and making trustworthy conclusions. Statistical methods are crucial for improving and organizing data for analysis.

Moreover, statistics enables data scientists to develop robust predictive models and testing methods to validate the models. Beyond modeling, statistical principles are useful for fairness and transparency in decision-making in data science.

Why Join the Statistics for Data Science Course with Us?

Delhi has been a hotspot for IT training for several decades. Learning statistics for data science in Delhi prepares students with crucial skills. They can understand data patterns, test ideas, and find important information.

This statistics course covers advanced and useful concepts that are rare to find in a textbook. Our focus will be on practical applications so that you can manipulate, interpret, and visualize data with confidence. Our curriculum covers essential topics such as linear algebra, calculus, probability, and inferential statistics. These are the fundamental pillars that underpin sophisticated data analytics.

The course focuses on practical learning with projects and real-world examples guided by experienced professionals. These experts will share valuable insights from their on-field experiences with you while teaching.

Entry Requirements of Statistics Training in Delhi

• Education: Minimum 12th or intermediate
• Mathematical Skills: Keen to learn concepts useful for data science
• Computer Literacy: Basic knowledge of software like Microsoft Excel
• Programming Skills (Optional): Familiarity with Python or R is advantageous

Syllabus of Statistics Course for Data Science

• The math needed for data analytics
• Data and collection
  • Types of data
  • Population and samples
  • Types of variables
  • Data cleansing
• Types of statistics
  • Descriptive
    • Measures of central tendency
    • Measures of variability
    • Frequency distribution
  • Inferential
    • Degrees of freedom
    • Central limit theorem
    • Parameters & test statistics
    • Estimation
    • Hypothesis testing
• Probability (distributions)
  • Normal distribution
  • Standard normal distribution
  • Poisson distribution
  • Chi-square distribution
  • t distribution
• Statistical tests
  • Hypothesis
  • Correlation
  • Regression analysis
  • t-tests
  • ANOVAs
  • Chi-square
  • Effect size
  • Model selection
• Linear Algebra
  • Matrices & vectors
  • Matrix operations
  • Eigenvalues and Eigenvectors
  • Linear equation
  • Optimization
  • Sparse matrices
  • Graph theory
• Calculus
  • Derivatives
  • Integrals
  • Gradient Descent
  • Chain Rule
  • Integration Techniques
  • Differential Equations
• Discrete Mathematics
  • Combinatorics
  • Permutation
  • Combination
  • Probability theory
  • Set theory

Key Takeaways of Statistics Course for Data Science in Delhi

• Gain essential statistical knowledge and techniques crucial for data analysis and interpretation.
• Utilize statistical approaches in real-world projects and case studies to enhance practical experience.
• Benefit from seasoned educators who offer guidance and mentorship drawn from their industry expertise.
• Achieve a respected certification upon finishing the course, affirming your competency in statistics for roles in data science.

Career Opportunities after Maths and Statistics Training

You must be informed that it is just a booster course, so after completing the Statistics Course for Data Science in Delhi with us, graduates can pursue a range of promising courses in data science and afterward can work in the below-given profiles.

• Data Analyst
• Quantitative Analyst (Quant)
• Market Research Analyst
• Data Scientist
• Operations Analyst
• Research Analyst
• Business Analyst
• Financial Analyst

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