Become a Skilled Data Analyrics Expert
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Curriculum Breakdown
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Data Analytics Learning Pathway

Mastering Data Analytics: Comprehensive Course
Your Gateway to Multiple Roles
Skill and Tools You will Learn

Big Data technology
Learn to handle and analyze massive data sets using modern big data platforms like Hadoop and Spark to uncover trends at scale.

Business Intelligence tool
Gain expertise in BI tools such as Power BI or Tableau to build dynamic dashboards and enable strategic decision-making with visual reports.

Cloud Platform and Data Warehousing
Understand how cloud services (AWS, Google Cloud, Azure) and data warehousing solutions streamline data storage, retrieval, and scalable analytics.

Communication and Data Storytelling Skills
Develop the ability to present complex data findings in clear, engaging stories and visuals that drive business insights and action.

Data Cleaning and Preprocessing
Master techniques to clean, organize, and transform raw data, ensuring accuracy and reliability for deeper analysis.

Data manipulation with libraries
Use powerful libraries like Pandas and NumPy in Python to efficiently organize, transform, and explore data sets.

Data Visualization
Create impactful charts, graphs, and dashboards that make analysis results easy to understand and actionable.

Machine Learning Algorithm
Get hands-on with machine learning methods for classification, prediction, and clustering to reveal hidden patterns and automate analysis.

Predictive Modeling
Build models that use historical data to make accurate forecasts and guide strategic planning.

Proficiency Excel
Utilize Microsoft Excel for advanced data analysis, pivot tables, functions, and quick visualizations.

Data Modelling and Database Design
Learn to structure data and design relational databases for efficient storage, integration, and retrieval.

Statistics Analytics and Hypothesis Testing
Apply statistical methods to analyze data distributions, correlation, and test business hypotheses with confidence.

SQL and Database Management
Master SQL to fetch, modify, and manage data in relational databases, a vital skill for every data analyst.

Data Governance and Security
Learn best practices for ensuring data privacy, compliance, and secure handling of sensitive information in analytics projects.

Dashboard Development and Reporting
Gain proficiency in designing interactive dashboards and automated reports to effectively communicate insights to stakeholders.
PIIT’s Full Stack Python program follows a carefully designed curriculum that covers the latest and most in-demand technologies used by employers.
Learn from expert instructors who bring both industry experience and teaching excellence to guide you through every concept with real-world examples.
The program emphasizes practical learning through real-time projects that enable you to apply concepts into building complete web applications.
PIIT trains you in both frontend and backend development, including Python frameworks like Django and Flask, as well as front-end technologies such as HTML, CSS, and JavaScript.
With options for online and offline classes, as well as flexible batch timings, PIIT accommodates working professionals and students alike.
- Dedicated placement support helps you prepare for interviews, build a strong resume, and connects you to top recruiters in the tech industry.
Upon successful completion, you receive a recognized certification from PIIT that adds credibility and boosts your career prospects.
Personalized mentoring ensures doubts are cleared promptly and learning obstacles are overcome effectively.
You gain practical knowledge not just in coding but also in best practices like version control, debugging, deployment, and security.
Training covers advanced Python topics, RESTful APIs, database management, and cloud deployment for comprehensive skill development.
Limited batch sizes ensure personalized attention and a collaborative learning environment.
Work on projects that replicate actual business scenarios, enhancing your portfolio and job readiness.
PIIT’s growing community of successful Certified offers networking and learning opportunities beyond the classroom.
The program is competitively priced with EMI options to make it accessible without compromising on quality.
Students receive ongoing updates, resources, and support even after course completion to help with skill upgrades and career growth.
Batch Schedule
Date | Course | Training Type | Batch |
---|---|---|---|
Mon, 18th August 2025 | Data Analytics | Classroom | 6 PM-8 PM |
Mon 18th August 2025 | Data Analytics | Online- Live Training | 6 PM-8 PM |
Sat, 22nd August 2025 | Data Analytics | Online- Live Training | 11 AM to 3 PM |
Sat, 22nd August 2025 | Data Analytics | Online- Live Training | 11 AM to 3 PM |
Frequently Asked Question
The curriculum includes Python programming, machine learning, data analysis, data visualization, SQL, statistics, big data tools, Tableau, Power BI, and hands-on real-world projects.
No prior coding knowledge is required. Most programs start from fundamentals, making them suitable for beginners as well as working professionals.
Data Science courses usually last between 3 to 8 months, depending on the institute, learning mode, and whether you choose weekday or weekend batches.
Yes, a globally recognized or industry-accredited Data Science certificate is awarded after successful completion of the course and assessments.
Most top institutes offer 100% placement support, including interview preparation, resume building, and direct referrals to hiring companies.
The course is ideal for final-year students, graduates from any discipline, career switchers, and professionals in non-technical roles seeking high-growth IT careers.
Most institutes provide flexible learning modalities—online live classes, classroom sessions, or blended formats—to suit diverse student needs.
Students work on multiple capstone, live, or client-based projects to ensure practical, job-ready skills aligned with industry demands.
Graduates can pursue roles such as Data Analyst, Data Scientist, Machine Learning Engineer, Business Intelligence Analyst, and more with companies across IT, finance, healthcare, and startups.
Enrollment is straightforward—fill out an online form or contact the institute.