Introduction to Yess Infotech Data Analytics Course
At Yess Infotech, embark on a transformative journey into the world of data analytics with our comprehensive course. Explore the foundational aspects of data analytics, statistical methods, and advanced techniques crucial for extracting insights from data.
Learn to harness tools like Python, R, and SQL, and master data visualization using industry-leading software. With hands-on projects and expert guidance, Yess Infotech prepares you for a successful career in this rapidly evolving field.
Data Analytics Course Structure
- Introduction to Data Analytics: Overview of data analytics and its importance. Understanding different types of data, basics of data collection, and data sources.
- Statistics and Probability: Descriptive statistics: mean, median, mode, standard deviation. Inferential statistics: hypothesis testing, confidence intervals. Probability concepts.
- Data Preprocessing: Data cleaning: handling missing values, outliers. Data transformation: normalization, scaling. Data integration and reduction techniques.
- Data Visualization: Importance of data visualization. Tools and libraries for visualization: Matplotlib, Seaborn, Tableau. Creating various types of charts and graphs.
- Database Management: Introduction to databases and SQL. Writing SQL queries for data manipulation and retrieval. Understanding relational database concepts.
- Programming for Data Analytics: Introduction to Python/R for data analysis. Key libraries: Pandas, NumPy, Scikit-Learn. Writing scripts and functions for data analysis.
- Machine Learning Basics: Supervised vs. unsupervised learning. Key algorithms: regression, classification, clustering. Model evaluation and validation techniques.
- Advanced Analytics Techniques: Time series analysis and forecasting. Text analytics and natural language processing (NLP). Big data analytics and tools like Hadoop and Spark.
- Capstone Project: Real-world project involving data collection, preprocessing, analysis, and visualization. Presentation of findings and insights. Application of learned concepts.
Placement Preparation
- Resume Building: Crafting a professional resume highlighting skills and projects. Including relevant coursework, certifications, and experience.
- Interview Skills: Mock interviews to practice answering common technical and behavioral questions. Feedback and improvement sessions. Tips for effective communication.
- Technical Preparation: Revising key concepts in data analytics, statistics, and machine learning. Practicing coding problems and SQL queries. Understanding latest field trends.
- Soft Skills Development: Training in teamwork, leadership, and problem-solving. Workshops on presentation skills and public speaking. Enhancing interpersonal skills.
- Industry Exposure: Guest lectures and webinars from industry experts. Networking events and career fairs. Insights into different career paths in data analytics.
- Job Application Assistance: Guidance on applying for jobs and internships. Access to job portals and company tie-ups for placements. Regular updates on job openings.
Data Analytics Syllabus: https://www.yessinfotech.com/dataanalytics/
Contact Us
For more information about our courses and services, reach out to us:
Phone: +91 9067832489
Email: yessinfotech@gmail.com
Address: Office Number 101, Floor No 1, Manisha Blitz, Solapur – Pune Hwy, near Shankar Math, near Magarpatta City, North Hadapsar, Hadapsar, Pune, Maharashtra 411013
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