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. You'll 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.
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!
