Contents
- 1 Data Analytics Training in Jasola Vihar , Delhi
- 2 Course Content:
- 3 Curriculum for Data Analytics Course at Samantus Web Training
- 4 Why Samantus Web Training Institute For Data Analytics Training in Jasola Vihar
- 5 How this can be beneficial for your career growth?
- 6 General FAQs about the Data Analytics Classes in Jasola Vihar, Delhi
Data Analytics Training in Jasola Vihar , Delhi
Samantus Web Training Institute in Jasola Vihar offers comprehensive and industry-focused data analytics training to empower aspiring professionals with the skills and knowledge needed to excel in the field of data analytics. Our institute is committed to providing high-quality training that prepares students for success in a data-driven world. With a team of experienced instructors and a carefully crafted curriculum, we ensure that students receive a well-rounded education in data analytics that meets the demands of the industry.
At Samantus Web Training Institute, our Data Analytics Training programme covers a wide range of topics, including data visualisation, statistical analysis, predictive modelling, and machine learning. Practical projects and real-world case studies immerse students in hands-on learning experiences, enabling them to apply their knowledge in simulated scenarios. This practical approach ensures that students develop valuable skills that are directly transferable to industry settings, giving them a competitive edge in the job market.
Upon successful completion of our data analytics training programme, students receive a prestigious certification from the Samantus Web Training Institute. This certification validates the student’s proficiency in data analytics, boosts their credibility in the job market, and unlocks exciting career opportunities. Employers widely recognise and value our institute’s certification, which validates the student’s expertise in data analytics and enhances their employability.
The Samantus Web Training Institute fosters a supportive learning environment where students receive individualised attention and guidance from instructors dedicated to their success. Whether students need help with coursework, career advice, or networking opportunities, our institute offers a supportive community that fosters growth and development. We believe in nurturing our students’ potential and providing them with the support they need to achieve their data analytics career goals.
In addition to the academic curriculum, Samantus Web Training Institute offers networking opportunities for students to connect with industry professionals, peers, and mentors in the field of data analytics. These connections can lead to valuable collaborations, career insights, and potential job opportunities, enriching the student’s learning experience and expanding their professional network. Building a strong professional network is essential for career growth, and our institute facilitates these connections to help students establish meaningful relationships in the industry.
With the skills, knowledge, and certification gained from our Data Analytics Training program, students are well-equipped to pursue career advancement opportunities in the field of data analytics. Many Samantus Web Training Institute graduates have gone on to secure rewarding positions as skilled data analysts in top companies and organizations. By choosing our institute for data analytics training in Jasola Vihar, students can embark on a transformative journey towards becoming proficient data analysts and unlocking exciting career prospects in the dynamic field of data analytics.
Course Content:
☑️ Introduction to Data Analytics
☑️ Data Collection and Cleaning
☑️ Data Analysis Techniques
☑️ Data Visualization (Tableau Or Power BI)
☑️ Programming for Data Analytics (Python)
☑️ Machine Learning for Data Analytics
☑️ Big Data Analytics (Hadoop Or Spark)
☑️ Data Ethics and Privacy (e.g., GDPR, HIPAA)
☑️ Case Studies and Projects
Curriculum for Data Analytics Course at Samantus Web Training
- Overview of Data Analytics: Understanding the Role and Importance of Data Analytics in Modern Businesses.
- Types of Data Analytics: Descriptive, Diagnostic, Predictive, and Prescriptive Analytics.
- Data Analytics Lifecycle: Steps involved from data collection to actionable insights.
- Tools and Technologies: An Introduction to the Software and Tools Used in Data Analytics.
- Data Sources: Identifying and accessing various data sources such as databases, APIs, and web scraping.
- Data Quality: Understanding data quality issues and their impact on analysis.
- Data Cleaning Techniques: Methods for Handling Missing Data, Outliers, and Duplicates.
- Data Transformation: Standardising and normalising data for analysis.
- Statistical Analysis: Basics of Statistics, including Mean, Median, Mode, Variance, and Standard Deviation.
- Hypothesis Testing: Performing and Interpreting Hypothesis Tests.
- Regression Analysis: Linear and logistic regression techniques.
- Time Series Analysis: Techniques for analysing time-dependent data.
- Introduction to Data Visualisation: Importance of data Visualisation in analytics.
- Tableau/Power BI Basics: Navigating the interface and basic functionalities.
- Creating Visualisations: Building charts, graphs, and dashboards.
- Advanced Visualisation Techniques: Using filters, calculated fields, and interactive elements
- Python Fundamentals: The Basics of the Python Programming Language.
- Libraries for Data Analytics: Introduction to Pandas, NumPy, and Matplotlib.
- Data Manipulation with Pandas: Techniques for Data Wrangling and Manipulation.
- Data Visualisation with Matplotlib and Seaborn: Creating visualizations using Python libraries.
- Introduction to Machine Learning: Basics and Types of Machine Learning.
- Supervised Learning: Techniques such as regression, classification, and decision trees.
- Unsupervised Learning: Clustering and Association Rule Learning.
- Model Evaluation and Selection: Techniques for Validating and Selecting the Best Models.
- Introduction to Big Data: Understanding the concept and significance of big data.
- Hadoop Ecosystem: Overview of Hadoop components like HDFS and MapReduce.
- Apache Spark: The Basics of Spark and its Components.
- Big Data Processing: Techniques for processing and analysing large datasets.
- Introduction to Data Ethics: The Importance of Ethics in Data Analytics.
- Privacy Laws and Regulations: An Overview of GDPR, HIPAA, and Other Relevant Laws.
- Ethical Data Handling: Best Practices for Handling Sensitive Data.
- Compliance and Security: Ensuring compliance and securing data from breaches.
- Real-World Case Studies: Analysis of real-world scenarios and their solutions.
- Project Work: Hands-on projects to apply the concepts learned throughout the course.
- Capstone Project: A comprehensive project that integrates all aspects of the course.
- Presentation and Reporting: Techniques for Effectively Presenting Your Findings and Insights.
