Overview of Analytics Course in Noida

Noida is a prime destination for technical education in India, and it is no different when it comes to Analytics courses. The Analytics course in Noida is gaining popularity as organizations across sectors are increasingly relying on analytics for informed decision-making. The city offers a range of programs in analytics, right from certificate courses to Postgraduate diploma programs as well as executive programs. An analytics course equips students with data analysis skills, data interpretation capabilities, data visualization techniques. These programs help candidates stay updated with various analytical tools and techniques, giving them a competitive edge in the job market. In Noida, there are several top-notch institutes that offer analytics courses. Some of the popular ones include IMT Ghaziabad, Amity University, NIIT, APTRON Training Institute, and UC Berkeley Executive Education. The courses offered in these institutes vary in duration, fee structure, and level of expertise needed to pursue them. For instance, the Advanced Program in Business Analytics (APBA) at IMT Ghaziabad is designed for professionals with more than three years of experience in analytics. The course is comprehensive, focusing on both technical skills and business acumen. It aims to equip students with skills that can enable them to understand the business implications of analytics better. On the other hand, APTRON Training Institute offers a Certificate Course in Data Analytics that is designed for beginners who want to start their analytics journey. This course helps aspirants learn the basics of data analysis like data cleaning, data transformation, data visualization, and data modeling. After the course completion, students can use these skills to perform exploratory data analysis on various industry datasets. Additionally, Amity University's two-year M.Sc. in Data Science is an excellent example of a postgraduate analytics course that offers a comprehensive curriculum with a blend of technical and theoretical knowledge. The course includes Machine Learning, Deep Learning, Data Mining, and Statistical Analysis as major subjects. The program aims to develop a deep understanding of the application of data science techniques in various industries. Most of these institutes offer both online and offline modes of education, giving students the flexibility to choose the most convenient mode of learning. Further, these institutes provide industry-relevant projects, workshops, and internships that enable students to get hands-on experience with real-world datasets. Apart from the traditional institute-based courses, there are several MOOCs (Massive Open Online Courses) that offer analytics courses from reputed universities. These MOOCs are especially beneficial for candidates who want to upskill themselves but don't have the time to attend a full-time course. Some of the popular MOOCs include edX, Coursera, and Udemy. In conclusion, Analytics courses in Noida are a stepping stone to a fulfilling career as a data analyst, data scientist, or business analyst. These programs are tailor-made, keeping in mind the needs of various learners and are complemented by industry-relevant projects and internships. Investing time and effort in these courses could be the turning point in one's career, given the increasing reliance on analytics in the world of business.
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Skill Level

NA

Internship

NA

Live Project

NA

Certificate

NA

Live Training

NA

Career Assistance

NA

Expiry Period

Lifetime
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Skillfloor Course Training Process
Skillfloor Course Training Process

Internship Certificate

internship certificate

Completing this Analytics Course certifies your proficiency in data analysis, statistical methods, and essential analytics tools. This certification shows you can transform raw data into actionable insights, improving decision-making in various business contexts. It indicates your understanding of data visualization, predictive modelling, and data-driven strategy development, providing you with the skills to excel in analytics. This credential reflects your dedication to continuous learning and commitment to leveraging data for strategic advantage.

Analytics Tools Covered

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Why Choose SKILLFLOOR for Analytics in Noida?

Why Course Training in Skillfloor

Syllabus

- Overview of data analysis and its importance in business

- Types of analytics: Descriptive, Predictive, Prescriptive

- Role of data in decision-making processes

- Introduction to common tools: Tableau, PowerBI, Excel

- Ethical considerations in data collection and analysis

- Data sources: Primary and secondary data

- Data collection methods (surveys, web scraping, databases)

- Data cleaning techniques (handling missing values, outliers)

- Data transformation and feature engineering

- Data storage concepts (structured vs. unstructured data)

- Descriptive statistics: Mean, median, mode

- Data visualization basics (histograms, scatter plots)

- Identifying data patterns and trends

- Outlier detection and handling methods

- Correlation and causation analysis

- Inferential statistics and probability theory

- Hypothesis testing (t-tests, chi-square tests, ANOVA)

- Measures of central tendency and variability

- Confidence intervals and margin of error

- Regression analysis: Linear and logistic regression

- Principles of effective data visualization

- Types of charts and their uses (bar, line, pie, heatmaps)

- Designing dashboards for different audiences

- Interactive visualization techniques

- Data storytelling for impactful presentations

- Time series analysis and forecasting methods

- Clustering and segmentation analysis

- Decision trees and classification techniques

- Introduction to machine learning in business analytics

- Model evaluation and selection

- Basics of SQL for data manipulation

- Creating databases and relationships

- Aggregating data with SQL (GROUP BY, JOIN)

- Data modeling for business intelligence (star and snowflake schemas)

- Case study: Building a business model with SQL

- Connecting and preparing data in Tableau

- Creating basic visualizations (charts, maps)

- Advanced Tableau functions (LOD calculations, table calculations)

- Building interactive dashboards and stories

- Publishing and sharing visualizations on Tableau Server/Online

- Introduction to PowerBI workspace and components

- Data import and transformation with Power Query

- Data modeling and relationships in PowerBI

- Creating and customizing visualizations

- Publishing and collaborating on PowerBI Service

- Selecting a real-world dataset for analysis

- Defining business questions and objectives

- Conducting data analysis and visualization

- Presenting findings in a comprehensive dashboard

- Peer review and feedback on project

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