What You’ll Learn
  • Discover how to effectively handle
  • analyze
  • and visualize data using Python and its robust libraries
  • including Pandas
  • NumPy
  • Matplotlib
  • and Seaborn.
  • Learn how to conduct Exploratory Data Analysis (EDA) to reveal insights
  • detect patterns
  • and prepare data for further analysis through effective visualization
  • Acquire the skills to extract
  • manipulate
  • and aggregate data using SQL. You will utilize MySQL to handle complex databases and execute sophisticated queri
  • "Master the art of creating interactive and insightful dashboards using Power BI and Tableau. Youll apply DAX for complex calculations in Power BI and integrate"
  • Explore the fundamentals of machine learning
  • including classification
  • regression
  • and time series analysis
  • to enhance your predictive analytics skills.
  • Learn the fundamentals of ETL processes to effectively extract
  • transform
  • and load data for analysis.

Requirements

  • No pre-requisites are required for this course

Description

Congrats on enrolling in the Data Analytics Masters Course!!


Need of Data Analytics

The outburst of data is transforming businesses. Companies - big or small - are now expecting their business decisions to be based on data-led insight.

  • Data specialists have a tremendous impact on business strategies and marketing tactics.

  • The demand for data specialists is on the rise while the supply remains low, thus creating great job opportunities for individuals within this field.

  • Today, it is almost impossible to find any brand that does not have a social media presence; soon, every company will need data analytics professionals.

  • This makes it a wise career move that has a future in business.

Job Roles after the course

This course will help you to step forward in Data Analytics and choose the following roles

  • Data Analyst

  • Business Analyst

  • BI Analyst

  • BI Developer

  • Power BI Developer

  • Tableau Developer

  • and many more...

Syllabus:

  • Module 1: Python for Data Analytics

  • Module 2: Exploratory Data Analysis

  • Module 3: Business Statistics

  • Module 4: SQL

  • Module 5: Microsoft Excel

  • Module 6: Power BI

  • Module 7: Tableau

  • Module 8: Predictive Modelling

  • Module 9: Data Warehousing and ETL

  • Module 10: Interview Guides

  • Module 11: Capstone Projects

Conclusion:

By the end of this course, you'll have a strong foundation in data analysis and the confidence to tackle real-world data problems. You'll be ready to step into a data analyst role with a robust portfolio of projects to showcase your skills.

Enroll now and start your journey to becoming a proficient Data Analyst!

Who this course is for:

  • Complete beginners interested to learn Data Analytics can join this program
  • Any Technical or Non Technical person can enroll for this program
Courses

Course Includes:

  • Price: FREE
  • Enrolled: 5283 students
  • Language: English
  • Certificate: Yes

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