Data Analyst / Data Engineering / Data Scientist

Data Analyst / Data Engineering / Data Scientist

Module 1: Power BI

Module 2: Tableau

Module 3: MS SQL Server

Module 4: Python

Module 5: R Programming

Module 6: Data Science with Python

Module 7: Data Science with R

Module 8: Azure Data Engineering

Syllabus

View Syllabus In Pdf

ms sql 3016957162231697604369.pdf

View Syllabus In Pdf

Python 3015401304781697604405.pdf

View Syllabus In Pdf

R161697604448.pdf

View Syllabus In Pdf

AZURE DATA ENGINEER1706873619.pdf

Fees

Rs.70000

    Course Highlights

  • Statistical analysis: Applying statistical methods to draw inferences and make data-driven decisions.
  • Data visualization (Tableau Power BI): Creating visually appealing and informative dashboards and reports.
  • SQL querying: Proficiency in retrieving and manipulating data using SQL queries.
  • Excel/Spreadsheet skills: Utilizing spreadsheet tools for data analysis and reporting.
  • Business intelligence reporting: Generating reports and insights to support business decision-making.
  • ETL (Extract Transform Load) processes: Designing and implementing efficient ETL processes to move and transform data between systems.
  • Data pipeline development: Building and maintaining data pipelines to ensure a smooth flow of data from source to destination.
  • Data warehousing: Designing and managing data warehouses for storing and retrieving structured data.
  • Data modeling and schema design: Creating effective data models and database schemas to support business requirements.
  • Big data processing (Hadoop Spark): Experience with large-scale data processing frameworks for handling and analyzing big data sets.
  • Deep learning knowledge: Understanding and application of neural networks and deep learning techniques for solving complex problems.

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