Course Highlights
- Data Analytics is a critical capability in the digital economy, enabling organizations to make data-driven decisions and improve business outcomes. This program is designed in alignment with industry standards and the NASSCOM FutureSkills framework to equip learners with essential analytical and technical competencies.
- The course is delivered by Placement Point Solutions, a training provider with experience in industry-oriented learning, following a structured, outcome-based approach. It covers key areas such as data handling, data analysis, data visualization, and business intelligence using tools like Excel, SQL, Python, Power BI, and Tableau.
- Learners will engage in hands-on exercises, case studies, and project-based learning to develop problem-solving skills and apply analytical techniques in real-world scenarios. The program also focuses on building job-ready skills, including data interpretation, dashboard creation, and effective communication of insights.
- Upon completion, participants will be equipped with industry-relevant skills required for entry-level roles in data analytics and aligned with the evolving demands of the IT and analytics ecosystem.
-
Skill Type
-
Course Duration
-
Domain
-
GOI Incentive applicable
-
Course Category
-
Nasscom Assessment
-
Placement Assistance
-
Certificate Earned
-
Badge Earned
-
Content Alignment Type
-
NOS Details
-
Mode of Delivery
Course Details
What will you learn in the Data Analytics Course?
Learners will be able to understand and apply core data analytics concepts to real-world business scenarios. They will gain skills in data collection, cleaning, and analysis using Excel, SQL, and Python. Participants will be able to create interactive dashboards using Power BI and Tableau, apply basic statistical techniques, and communicate insights effectively for data-driven decision-making.
Why should you take the Data Analytics Course?
- High demand for data analytics professionals across industries
- Industry-aligned curriculum based on the NASSCOM FutureSkills framework
- Hands-on training with real-time datasets and case studies
- Coverage of multiple tools: Excel, SQL, Python, Power BI, Tableau
- Practical exposure through projects and assignments
- Helps build job-ready analytical and problem-solving skills
- Suitable for both freshers and working professionals
- Enhances career opportunities in IT and analytics domains
Who should take the Data Analytics Course?
- Fresh graduates seeking careers in data analytics
- Job seekers looking to enter IT or analytics roles
- Working professionals planning a career transition
- Non-IT candidates interested in data-driven roles
- Business analysts, MIS executives, and reporting professionals
- Students from engineering, commerce, or science backgrounds
Curriculum
- The Data Analytics Course offered by Placement Point Solutions is designed to equip learners with essential analytical and data-handling skills required for entry-level roles in the data analytics domain. The course focuses on building a strong foundation in data analysis concepts and practical tools widely used in the industry. It is suitable for beginners, fresh graduates, and working professionals who wish to build a career in data analytics.
- The curriculum covers key topics such as fundamentals of data analytics, statistics, and data handling, followed by hands-on training in tools including Microsoft Excel, SQL, Python, and Power BI. Learners gain practical exposure to data cleaning, data visualization, and report generation techniques that support data-driven decision-making in organizations. The course also includes real-world projects that help learners apply theoretical knowledge to practical business scenarios.
- In addition to technical skills, the program offers career-oriented support such as resume building, interview preparation, and career guidance sessions. By the end of the course, learners are expected to develop the necessary competencies to perform data analysis tasks and pursue entry-level roles such as Data Analyst, MIS Analyst, or Junior Business Analyst across various industries.
Tools you will learn in the Data Analytics Course
- Microsoft Excel (Advanced)
- SQL (Structured Query Language)
- Python (Pandas, NumPy, Visualization libraries)
- Power BI
- Data Visualization Techniques
- Data Cleaning and Processing
- Business Analytics Concepts