Best Data Analytics Course in India with Tools like Power BI & Tableau
Table of Contents
- What is Data Analytics
- Why is Data Analytics Important?
- Key Types of Data Analytics
- Best Data Analytics Course in India
- Features of Power BI and Tableau
- Highlights of Power BI and Tableau
- Industries using Power BI and Tableau
- Career Options in Data Analytics
- Conclusion
What is Data Analytics?
Data Analytics is the process of collecting, organizing, and examining large amounts of raw data to extract meaningful information and insights, which can then be used to make data-driven decisions and draw actionable insights. Our modern world is witnessing the peak of the digital age, with the growing number of online platforms and apps used for almost every purpose. This growth has significantly increased internet usage and overall online actions on a global scale.
All these countless online actions generate massive amounts of data; they can be divided into actions on commercial platforms and social platforms. Social platforms like Instagram and YouTube use data analytics to draw insights that create personalized algorithms for users. Commercial platforms like Google, Amazon, and Myntra use data analytics to examine user actions, helping businesses improve strategies, identify what works, and eliminate inefficiencies.
Why is Data Analytics Important?
Data Analytics is one of the most essential aspects used by organizations and businesses to gain better visibility and insights into the market.
Major benefits of data analytics:
- Enhanced decision-making: Organizations can make better business-specific decisions by gaining insights into inefficient processes. This prevents loss-making strategies and improves overall performance.
- Understand the target audience: By collecting and analyzing data, companies can understand audience preferences, demographics, and needs. This helps in creating targeted marketing strategies to attract and retain consumers.
- Competitive edge: By identifying new business opportunities and customer needs, organizations can gain a competitive edge in the market.
Key Types of Data Analytics
- Descriptive Analytics: Collects historical data to identify past events and trends.
- Diagnostic Analytics: Uses past data to determine why certain events occurred.
- Predictive Analytics: Makes future predictions and potential scenarios using historical data and advanced tools.
- Prescriptive Analytics: Provides the best solutions for business problems by optimizing tools to analyze data.
Best Data Analytics Course in India
Explore the best Data Analytics Course in India offered by Digifine, a well-recognized IT institute based in Andheri (Mumbai) and Vashi (Navi Mumbai). Digifine provides premium courses at an affordable price, including an advanced Data Analytics Course with guaranteed placement. If you want to grow a flourishing career with high-paying jobs worldwide, you should definitely pursue this professional business analytics course.
Benefits of pursuing a Data Analytics course by Digifine:
- Advanced Curriculum: Hands-on training in all essential aspects of Data Analytics.
- ISO Certifications: Acquire internationally recognized certifications in Power BI, Data Analytics, and Tableau to strengthen your resume.
- Industry Tools: Get trained in Python, MySQL, Tableau, Power BI, Excel, Google Sheets, and more throughout this Data Analytics course in Mumbai and Navi Mumbai.
- Job Placement: Kickstart your career with 100% guaranteed placement and a 3-month internship letter.
Features of Power BI and Tableau
Both Power BI and Tableau are advanced Data Analyst tools widely used in the IT industry. Let’s delve deeper into their features.
Power BI
Power BI integrates with Microsoft tools such as Excel and Azure. It has a simple interface, making it beginner-friendly. It allows users to create custom visuals and interactive reports with charts, maps, and graphs. Power BI is cross-device compatible, with a mobile app for dashboards and reports.
Tableau
Tableau is a data visualization tool that connects to numerous databases, big data sources, and cloud servers. It integrates with Python and MySQL to provide advanced analytics and can connect to live data sources for real-time decision-making.
| Feature | Power BI | Tableau |
|---|---|---|
| Use | User-friendly interface integrated with Microsoft products. | Intuitive drag-and-drop interface, better for advanced users. |
| Data Integration | Connects easily to Microsoft products such as Excel, MySQL, and more. | Connects to a wide range of databases, including cloud servers. |
| Data Handling | Handles small to medium-sized databases. | Efficient with large data sets. |
| AI Integration | Built-in AI visuals with Microsoft-powered AI. | Advanced AI with Python and R integration. |
| Mobile Support | Mobile app support for reports and dashboards. | Strong mobile support with interactive dashboards. |
Highlights of Power BI and Tableau
Key Highlights of Power BI:
- Interactive interface
- Real-time data processing
- Integration capabilities
- Custom visualization
Key Highlights of Tableau:
- Informative dashboards
- AI and ML integration
- Supports numerous data sources
- Mobile support
Industries using Power BI and Tableau
- Healthcare: Uses dashboards and real-time analytics for better patient data insights.
- Finance: Gains insights into operations and financial decisions.
- Education: Analyzes student performance, attendance, and schedules.
- Retail: Understands consumer behavior, purchasing patterns, and sales analysis.
Career Options in Data Analytics
- Junior Data Analyst
- Associate Data Analyst
- Junior Data Scientist
- Data Scientist
- Data Architect
- Data Engineer
- Business Analyst
- Marketing Analyst
Conclusion
In conclusion, there is no better time to invest in a professional data analytics course than now! Check out Digifine’s Advanced Data Analytics Course available in Mumbai and Navi Mumbai. You can also visit School of Tech to explore more IT and analytics programs.