About Course

Data analyst program

The Data Analyst Training Program is a comprehensive course designed to equip participants with the knowledge and skills needed to excel in the field of data analysis. This program covers a wide range of topics, enabling participants to harness the power of data to make informed decisions, solve real-world problems, and drive business insights.

CURRICULAM

Module 1: Introduction to Data Analysis

  • Understanding the role of a data analyst
  • Data analysis process and workflow
  • Basics of data types and data sources
  • Introduction to data cleaning and preprocessing

Module 2: Data Collection and Wrangling

  • Data collection methods and sources
  • Web scraping and API integration
  • Data extraction and transformation
  • Handling missing data and outliers

Module 3: Exploratory Data Analysis (EDA)

  • Data visualization techniques (Matplotlib, Seaborn)
  • Descriptive statistics and summary metrics
  • Data distribution and central tendency analysis
  • Correlation and causation analysis

Module 4: Data Analysis with Pandas

  • Introduction to Pandas for data manipulation
  • Data aggregation and grouping
  • Advanced querying and filtering
  • Pivot tables and reshaping data

Module 5: Statistical Analysis

  • Probability theory and distributions
  • Hypothesis testing and p-values
  • Confidence intervals and effect size
  • Regression analysis (linear and logistic)

Module 6: Data Visualization

  • Advanced data visualization with libraries like Plotly
  • Dashboard creation with tools like Tableau
  • Storytelling through data visualization
  • Best practices in data visualization

Module 7: SQL for Data Analysis

  • Structured Query Language (SQL) fundamentals
  • Querying relational databases (SQL Server, MySQL, PostgreSQL)
  • Joins and subqueries for data extraction
  • Creating and modifying database tables

Module 8: Machine Learning for Data Analysis

  • Introduction to machine learning concepts
  • Data preprocessing for machine learning
  • Supervised and unsupervised learning algorithms
  • Model evaluation and performance metrics.
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What Will You Learn?

  • Krutanic Data Analyst online program offers an initiation into the field of data analysis, equipping you with the latest job-ready tools and competencies, including proficiency in Python, statistical analysis, databases, and data visualization.
  • In addition to providing insights into the essence and significance of data analysis, the course introduces you to the fundamentals of Python and various data classifications, covering topics such as continuous & discrete data, structured & unstructured data.
  • Develop your data analysis skills using industry-standard tools and programming languages, including Python and statistical analysis. The certification program also provides a comprehensive understanding of data visualization techniques and the interpretation of analytical results.
  • This online data analyst certification course by Krutanic is tailored for individuals interested in pursuing a career in data analysis and acquiring essential skills. If you're looking to obtain an online certification in data analytics and build a portfolio of data analysis projects, this course is designed for you. Enroll today to kickstart your journey toward a successful career as a data analyst.

Course Content

Module 1

  • Introduction To Data Analytics
    37:47

Module 2

Module 3

Module 4

Module 5

Module 6