Business Intelligence and Data Analytics

In this program, you will master essential tools like Python, SQL, Tableau, and Power BI, along with key statistical and ... Show more
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Team SKETO
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The Business Intelligence and Data Analytics Program at SKETO INFOTECH is designed to equip you with the technical skills and analytical mindset needed to excel in the data-driven world of business intelligence and analytics. This comprehensive program covers everything from foundational analytics and data handling to advanced visualization and machine learning, empowering you to transform data into actionable insights.

Key Skills and Outcomes: In this program, you will master essential tools like Python, SQL, Tableau, and Power BI, along with key statistical and machine learning techniques. By the end of this course, you’ll be able to analyze data, generate predictions, and create compelling visualizations to support decision-making.

Target Audience: This program is ideal for aspiring data analysts, business intelligence professionals, and anyone interested in using data to make informed business decisions.

Course Content:

  • Introduction to Data Analytics and Its Fields: Learn the fundamentals of data analytics, its various applications, and its role in today’s business environment.
  • Python Programming: Develop a solid foundation in Python, focusing on its use in data analytics.
  • Python Libraries: Work with essential libraries like Pandas, NumPy, and Matplotlib to handle and analyze data efficiently.
  • SQL for Analytics: Gain expertise in SQL, learning to query, manipulate, and manage data within databases.
  • Integrating Python and SQL: Understand how to combine Python and SQL to streamline your data analysis workflow.
  • Descriptive Statistics: Learn to summarize and describe data to uncover insights and trends.
  • Inferential Statistics and Hypothesis Testing: Gain the skills to make predictions and draw conclusions from data.
  • Introduction to Tableau: Get started with Tableau, one of the most popular tools for data visualization.
  • Tableau Functionalities: Explore advanced functionalities in Tableau, including dashboards, filters, and interactivity.
  • Combining SQL and Tableau: Discover how to connect SQL databases to Tableau for seamless data visualization.
  • Software Integration: Learn to integrate different software tools for a unified data analytics workflow.
  • Using Tableau to Analyze Predicted Output: Use Tableau to visualize predictions and outputs from machine learning models.
  • Introduction to Power BI Desktop: Discover the fundamentals of Power BI and its applications in data visualization.
  • Connecting and Shaping Data with Power BI: Learn to import, shape, and clean data within Power BI Desktop.
  • Creating Table Relationships & Data Models in Power BI: Understand the process of building robust data models and relationships in Power BI.
  • Analyzing Data with DAX Calculations: Master DAX formulas to analyze data and perform complex calculations.
  • Visualizing Data with Power BI Desktop: Create engaging and informative data visuals in Power BI.
  • Publishing Reports to Power BI: Learn how to publish your Power BI reports and share insights with stakeholders.
  • Machine Learning: Get introduced to machine learning, exploring algorithms that allow data-driven predictions and modeling.

Learning Format: This program is offered both online and in-person to fit your learning needs. Through hands-on projects, practical labs, and interactive assignments, you will gain valuable skills to excel in business intelligence and data analytics.

Certification and Career Impact: On successful completion, you will receive a certification in Business Intelligence and Data Analytics from SKETO INFOTECH, opening doors to roles such as Data Analyst, Business Intelligence Specialist, and Analytics Consultant.

1. Introduction to Data Analytics and its fields
2. Python Programming
3. Python Libraries
4. SQL for Analytics
5. Integrating Python and SQL
6. Descriptive statistics
7. Inferential Statistics
8. Hypothesis Testing
9. Introduction to Tableau
10. Tableau Functionalities
11. Combining SQL and Tableau
12. Software Integration
13. Using Tableau to analyze the predicted output
14. Introduction to Power BI desktop
15. Connecting and shaping data with Power BI desktop
16. Creating table relationships & Data Models in Power BI
17. Analysing Data with DAX calculations
18. Visualizing data with Power BI desktop
19. Publishing report to Power BI
20. Machine Learning
Project
What background knowledge is required to enroll in this program?
This program is suitable for beginners as well as those with basic knowledge of statistics, mathematics, or programming. We start with foundational concepts in data analytics and Python programming, making it accessible even if you’re new to analytics.
Which data visualization tools will I learn in this course?
You will learn two powerful data visualization tools: Tableau and Power BI. We cover their features, functionalities, and best practices for creating impactful visuals and dashboards. This will equip you to effectively present and interpret data insights.
Will I learn machine learning in this program, and how is it applied to business intelligence?
Yes, you will be introduced to the fundamentals of machine learning, including how to make predictions from data. Machine learning is applied to business intelligence to forecast trends, analyze patterns, and derive insights that inform strategic business decisions.
How are Python and SQL integrated into the curriculum, and why is this important?
Python and SQL are both covered as key tools for data analysis and manipulation. You’ll learn how to integrate them, using SQL for data querying and Python for data cleaning, analysis, and visualization. This combination is essential for building efficient, end-to-end data workflows in analytics.
Will I receive a certificate upon completion?
Yes, upon completing the program, you will receive a certification in Business Intelligence and Data Analytics from SKETO INFOTECH, which you can add to your resume to showcase your new skills to potential employers.
Is the course online or in-person?
We offer both online and in-person courses to accommodate the needs of our students. All are programs can be accessed in hybrid mode as well, allowing you to experience a mix of virtual and physical classrooms for a flexible learning experience.
What kind of support do you provide for students after course completion?
We offer placement services for 3 years along with sessions for resume building, interview preparation, and career counseling. Our goal is to help students transition smoothly into new roles in their chosen fields. We also provide one free retake of the course with an eligibility of one year which allows the students with revision if required.
How do I enroll in a course at SKETO INFOTECH?
To enroll, you can visit our website and fill out or enquiry form for the course you’re interested in. Once submitted our team will connect with you for further processing. Alternatively, you can even call directly at 8956124125 or visit our office and connect with our tram directly.

Experience SKETO INFOTECH’s Training with Trial Sessions! 

Are you ready to explore the world of Data Science, AI, Software Development, or Business Analytics? At SKETO INFOTECH, we’re offering exclusive trial sessions to help you experience our hands-on, industry-focused training before committing to a full program.

 Why Choose Our Trial Sessions?

  • Get a sneak peek into our expert-led teaching methodologies.
  • Explore the latest tools and technologies included in our programs.
  • Gain insights into how our project-based learning approach works.
  • Interact directly with experienced trainers and mentors.
  • Assess how the course aligns with your career aspirations.

 Session Options:

  • 2-Hour Trial Session: Just Rs. 499/-
  • 4-Hour Trial Session: Just Rs. 999/-

 Book Your Trial Today! Apply Here

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Course details
Duration 240+
Level Advanced
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Working hours

Monday 10:00 am - 07.00 pm
Tuesday 10:00 am - 07.00 pm
Wednesday 10:00 am - 07.00 pm
Thursday 10:00 am - 07.00 pm
Friday 10:00 am - 07.00 pm
Saturday 10:00 am - 07.00 pm
Sunday 10:00 am - 07.00 pm