he Data Analyst Master’s Program is a 45-hour intensive training designed to provide you with practical, job-ready skills in data analytics using Python, SQL, and Power BI. The course begins with Python for data handling and analysis, followed by SQL for querying and managing databases, and culminates with Power BI for building interactive dashboards and business reports. With a strong focus on hands-on learning, you’ll work on real-world projects and case studies to master data cleaning, transformation, statistical analysis, and visualization. The program also emphasizes data storytelling and reporting automation, enabling you to effectively communicate insights to business stakeholders. Through guided sessions, interactive labs, and expert mentorship, you’ll gain the confidence and expertise needed to handle real industry challenges. By the end of this program, you’ll have a portfolio of projects and a certification, preparing you for a successful career as a Data Analyst or Business Analyst.
If you have three or more people in your training we will be delighted to offer you a group discount
If you want to give the Trending technology experience to your esteemed employees, we are here to help you.
Raxicube Technologies Certification is accredited by all major Global Companies around the world. We provide certification after completion of the theoretical and practical sessions to freshers as well as corporate trainees. Our certification at Raxicube Technologies is accredited worldwide, increasing the value of your resume. This allows you to attain leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after successful completion of our training and practical based projects.
Power BI is a business intelligence tool by Microsoft that helps you create interactive dashboards, visualize data, and generate insights for better decision-making. It’s one of the most in-demand tools in analytics today.
This program is perfect for beginners, aspiring data analysts, business analysts, and professionals who want to build practical data analytics skills.
No. The course starts from basics, so even if you’ve never coded before, you can follow along easily.
Python is popular because it’s simple, versatile, and has powerful libraries like Pandas, NumPy, and Matplotlib that make data cleaning, analysis, and visualization easy and efficient.
SQL is the standard language for querying and managing databases. In this program, you’ll learn to extract, filter, and manipulate data from databases to support your analysis.
The program spans 45 hours, with instructor-led sessions, hands-on labs, case studies, and real-world projects for practical exposure.
Yes. You’ll work on real-world projects like sales analysis, customer behavior insights, and dashboard creation to apply your learning
Yes. You’ll receive an industry-recognized certificate upon completion, which you can showcase on LinkedIn and your resume.
Absolutely. With practical skills in Python, SQL, and Power BI, plus a project portfolio, you’ll be well-prepared for roles like Data Analyst, Business Analyst, or BI Developer.
Data analytics is one of the fastest-growing fields. This program equips you with the right tools and real-world experience to secure high-demand, high-growth opportunities.
You will get 1.5 years of access to the study materials for this Course. You can access it anytime from anywhere.
You will never miss a lecture at Raxicube Technologies. You can view the recorded session of any missed live class at your convenience.
On average, Data Analysts earn between ₹5–8 LPA in India and $65,000–85,000 annually in the US. Salaries can grow significantly with experience, domain knowledge, and advanced skills.
Entry-level professionals can expect around ₹4.5–6 LPA in India and $60,000–70,000 in the US. With 2–3 years of experience, this can rise to ₹10–15 LPA or $90,000+ depending on industry and role.
Yes. Data analytics is one of the fastest-growing fields, with companies across industries actively hiring professionals skilled in Python, SQL, and Power BI.
You can apply for roles like Data Analyst, Business Analyst, BI Developer, Reporting Analyst, SQL Analyst, and Power BI Developer. With experience, you can move toward Senior Data Analyst or Data Scientist roles.
Typically, career progression looks like:
Junior Data Analyst → Data Analyst → Senior Data Analyst → BI Developer / Data Engineer → Data Scientist / Analytics Manager.
Absolutely. Data is considered the “new oil,” and organizations heavily rely on data-driven decisions. This makes Data Analytics one of the most stable and future-proof career paths.
Yes. Many successful Data Analysts come from business, finance, or non-IT backgrounds. This program covers the fundamentals of SQL, Python, and Power BI step by step, making it beginner-friendly.
Definitely, yes. We help students in their job search endeavors, providing guidance and support to secure relevant opportunities.
Data Analysts are in demand across industries such as Banking, Finance, Healthcare, E-commerce, Retail, Telecom, IT Services, and Consulting.
Yes. Many companies outsource reporting, dashboard creation, and database management. With Power BI and SQL skills, you can take up freelance projects globally.
it’s online live training.
Since many learners are working professionals, assure them the 45-hour program is designed to be flexible and manageable.
Learners want to know if they’ll get doubt-clearing sessions, WhatsApp/Slack group support, or 1:1 mentorship.
This is a common search query. You can answer by saying Power BI is more affordable, tightly integrated with Microsoft ecosystem, and widely adopted in enterprises, making it a great choice for learners.
Highlight clear outcomes like: SQL querying, Python data analysis, dashboard creation in Power BI, data cleaning, visualization, and storytelling with data.
No advanced coding is required. Basic knowledge of SQL or Python is helpful, but Power BI mostly uses drag-and-drop features and DAX formulas, making it beginner-friendly.
Power BI is used by top companies like Microsoft, Accenture, Deloitte, KPMG, PwC, Infosys, Capgemini, and JP Morgan, along with thousands of startups and mid-size businesses worldwide.
Yes. While Excel is great for spreadsheets, Power BI is designed for advanced data modeling, large datasets, automation, and interactive dashboards. Most organizations are shifting from Excel to Power BI.
Yes! Power BI can connect to SQL Server, Azure, AWS, Google BigQuery, Salesforce, and many other cloud/on-premise data sources.
Absolutely. With businesses relying on data for decision-making, demand for Data Analysts with Power BI expertise is growing exponentially. It’s a future-proof career option.
Yes. We offer resume building, mock interviews, career counseling, and job referral support to help you land a Data Analyst role.
Yes. Freshers can start as Junior Data Analysts by learning SQL, Excel, and Power BI, then grow into advanced roles with experience.
Data Analyst → Focuses on analyzing historical data and creating reports.
Data Scientist → Builds predictive models using advanced ML/AI techniques.
Data Engineer → Designs and manages data pipelines and infrastructure.
A Data Analyst collects, processes, and interprets data to help businesses make informed decisions. They use tools like SQL, Python, Excel, and Power BI to create reports, dashboards, and insights.
Not necessarily. Many successful Data Analysts come from non-technical fields. With proper training in SQL, Python, and BI tools, anyone can transition into data analytics.
