Unleash Your Potential: Join the Ultimate Data Analytics Course
Learn data analytics from the fundamentals of data collection and analysis to advanced modules focused on analytical problem-solving.
Weekdays / Weekends
Offline Classroom &
Instructor led
Online
WHO IS THIS COURSE FOR?
Marketing Professionals
Finance Professionals
Healthcare Professionals
IT and Technology Professionals
Students and Recent Graduates
Researchers and Academics
Government and Public Sector Employees
Entrepreneurs and Small Business Owners
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What will you learn in Adv. Certification in Data Analytics Course?
Introduction to Data Analytics and Excel for
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Content :-
- Overview of data analytics: Importance, applications, and career paths.
- Basics of Excel: Formulas, functions, pivot tables, and charts.
- Advanced Excel techniques: Conditional formatting, advanced data functions, and data validation. Project :-
- Analyze a sales dataset to identify trends and create a dashboard using advanced Excel features.
Programming Fundamentals with Python
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Content :-
- Introduction to Python programming: Data types, variables, basic operations.
- Data structures in Python: Lists, dictionaries, sets, and tuples.
- Control structures: if statements, loops, and functions. Project :-
- Build a basic Python application that manipulates data stored in lists and dictionaries.
Data Wrangling and Visualization with Python
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Content :-
- Introduction to libraries: NumPy for numerical data processing, pandas for data manipulation.
- Data cleaning techniques: Handling missing values, data transformation, and data normalization.
- Data visualization with matplotlib and seaborn: Creating plots, histograms, and interactive visualizations. Project :-
- Clean a given dataset and create a comprehensive visualization report.
Introduction to SQL and Database Management
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Content :-
- Basics of databases: Understanding relational databases.
- SQL fundamentals: SELECT statements, filtering, sorting, and aggregations.
- Advanced SQL: JOIN operations, subqueries, and window functions. Project :-
- Design a small database and write complex SQL queries to answer business questions.
Advanced Data Analytics Techniques
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Content :-
- Introduction to statistical analysis: Descriptive statistics, probability, and inferential statistics.
- Predictive modeling basics: Linear regression, logistic regression.
- Introduction to machine learning: Understanding supervised vs. unsupervised learning. Project :-
- Implement a linear regression model to predict sales based on advertising spend.
Business Intelligence Tools: Power BI or Tableau
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Content :-
- Overview of business intelligence (BI) and how BI tools empower data analytics.
- Creating dashboards and reports with Power BI or Tableau.
- Advanced features: Data blending, custom visualizations, and deploying dashboards. Project :-
- Develop a dynamic dashboard using Power BI or Tableau that reflects real-time insights from a business dataset.
Capstone Projects
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Content :-
- Guided yet independent projects where students apply all the skills learned.
- Possible projects could include a market analysis report, customer behavior analysis, or a predictive model for forecasting.
- Develop a dynamic dashboard using Power BI or Tableau that reflects real-time insights from a business dataset.
- Capstone Guidance: Weekly check-ins to discuss progress, challenges, and insights.
Business Intelligence Tools: Power BI or Tableau
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Content :-
- Resume and LinkedIn profile workshops tailored for data analytics roles.
- Interview preparation: Technical questions, case studies, and project presentations.
- Networking strategies and accessing job portals for data analytics positions.
- Internship/Job Assistance: Connecting students with potential employers for internships or job opportunities based on their skills and project work.
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From Ordinary to Distinctive- Transforming for Success...
Project-based learning for real-world experience
Industry driven Latest Curriculum
Create a professional portfolio to kickstart your career
What About Placement Assistance?
We provide Placement Assistance with assured Internship
Enhance your professional image and open new career doors by obtaining a certificate from TGC, This testament of your learning and accomplishments can be a significant addition to your resume, bolstering both your credibility
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What you will get?
A thorough understanding of data analytics fundamentals, equipping you with the skills necessary to extract meaningful insights from vast datasets.
Comprehensive knowledge in applying statistical methods and analytical tools to solve real-world problems, enabling data-driven decision-making across various industries.
Abilities to construct a detailed and professional portfolio, showcasing your expertise in data analytics to future employers, including projects that demonstrate your ability to turn data into actionable insights.
Skills and techniques to improve the accuracy and relevance of your data analyses, ensuring your work contributes significantly to strategic planning and operational efficiency, thereby making a marked impact in the data-centric world.
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Frequently Asked Questions (FAQs)
No prior data analytics experience is required to begin this course. It is designed to welcome beginners from any background. A keen interest in data and basic computer literacy are beneficial to get started.
You will gain proficiency in Python for data analysis, Excel for advanced data manipulation, SQL for database management, and visualization tools like Power BI or Tableau. The course also introduces you to the basics of R programming, enhancing your analytical toolkit.
The course is structured over 6 months, broken down into 6 comprehensive modules. Each module is carefully planned to progressively build your knowledge and skills in data analytics.
Yes, the course is designed with flexibility in mind, allowing you to learn at your own pace. This structure makes it feasible to manage alongside a full-time job.
Upon successful completion, you will receive an advanced certification in Data Analytics, validating your acquired skills and knowledge in the field.
You can choose from offline classroom sessions, online trainer-led classes, or a hybrid learning mode, depending on what best fits your learning preference and schedule.
Absolutely, the course includes practical, hands-on projects that mimic challenges in data analytics, equipping you for real-world applications and boosting your problem-solving skills.
The program offers extensive career support, including 100% internship and placement assistance, to jumpstart your career in data analytics.