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Data Analyst: Professional Certificate in Data Analysis

Data Analyst: Professional Certificate in Data Analysis

₹499

₹799

The Data Analyst: Professional Certificate in Data Analysis is a specialized program designed to provide learners with the foundational and advanced skills needed to excel in the field of data analysis.

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Has discount
Expiry period Lifetime
Made in English
Last updated at Wed Nov 2024
Level
Beginner
Total lectures 34
Total quizzes 0
Total duration 02:56:02 Hours
Total enrolment 0
Number of reviews 0
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Short description The Data Analyst: Professional Certificate in Data Analysis is a specialized program designed to provide learners with the foundational and advanced skills needed to excel in the field of data analysis.
Outcomes
  • 1. Proficiency in Data Cleaning and Preparation: Ability to clean and preprocess raw data by identifying and handling missing values, outliers, duplicates, and inconsistencies. Mastery of data transformation techniques such as normalization, aggregation, and encoding. Knowledge of tools like Excel, Python (Pandas), and SQL to prepare data for analysis.
  • 2. Expertise in Data Visualization: Ability to create effective visualizations using Excel, Tableau, and Python libraries (e.g., Matplotlib and Seaborn). Skills to build interactive dashboards, reports, and charts that communicate data insights clearly to stakeholders. Understanding of visualization best practices, such as choosing the right chart types and using color schemes to enhance readability.
  • 3. Strong Statistical Analysis Skills: Proficiency in applying statistical methods (e.g., mean, median, standard deviation, correlation, regression) to analyze datasets. Ability to interpret data patterns, trends, and outliers and draw conclusions based on statistical tests. Understanding of how to make data-driven predictions and decisions using basic statistical models.
  • 4. Mastery of SQL for Data Extraction and Manipulation: Competence in writing SQL queries to extract, manipulate, and analyze data from relational databases. Skills to perform complex queries, including joins, subqueries, aggregations, and grouping. Ability to work with databases to access large datasets and perform critical data analysis tasks.
Requirements
  • For a better learning experience, we suggest you to use a laptop / mobile phone / pen and paper for taking notes, highlighting important points, and making summaries to reinforce your learning.

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