Data Analysis

by Heuristic Technopark Claim Listing

Data analysis is a cornerstone of extracting meaningful insights from vast amounts of data. Here, we explore the methodologies, tools, and techniques used in data analysis.

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Course Details

Data analysis is a cornerstone of extracting meaningful insights from vast amounts of data. Here, we explore the methodologies, tools, and techniques used in data analysis.

We showcase how exploratory data analysis, statistical modeling, and data visualization help uncover valuable insights that drive informed decision-making. Join us as we uncover the art of data analysis and its pivotal role in driving growth and efficiency.

 

Syllabus:

  • Introduction to Data Analysis
  • Understanding the role of data analysis in decision-making.
  • Overview of data analysis process and lifecycle.
  • Introduction to data types, data sources, and data quality.
  • Statistics and Probability
  • Descriptive statistics: measures of central tendency and dispersion.
  • Probability theory and distributions: normal, binomial, and Poisson.
  • Hypothesis testing and confidence intervals.
  • Regression analysis and correlation.
  • Data Manipulation and Cleaning
  • Data cleaning techniques: handling missing values, outliers, and data inconsistencies.
  • Data transformation: merging, reshaping, and filtering datasets.
  • Introduction to SQL (Structured Query Language) for data querying and manipulation.
  • Data Visualization
  • Principles of effective data visualization.
  • Graphical representation techniques: bar plots, line charts, scatter plots, etc.
  • Introduction to data visualization tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn).
  • Exploratory Data Analysis (EDA):
  • Techniques for data exploration and summarization.
  • Identifying patterns, trends, and outliers in data.
  • EDA tools and visualization for data exploration.
  • Nashik Branch

    03, 2nd Floor, Liberty Point Building, Opposite To Union Bank Of India, Nashik

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