SkillFloor offers comprehensive data analyst courses in Pune, specifically designed to equip aspiring analysts with the essential skills and knowledge required to excel in today's data-driven landscape. The data analyst course in Pune provides a robust curriculum that covers critical areas such as data visualization, statistical analysis, and predictive modeling. Students will gain hands-on experience using industry-standard tools like SQL, Tableau, and Python, enabling them to effectively analyze and interpret complex datasets. The curriculum also incorporates real-world case studies, allowing learners to engage with practical scenarios that they may encounter in their professional careers. This hands-on approach ensures that students are not only learning theory but also applying their skills in ways that directly translate to workplace challenges.
In addition to the foundational knowledge offered in the data analytics courses in Pune, SkillFloor's programs emphasize the importance of business analytics training in Pune. Participants learn to leverage data insights to inform strategic business decisions, making them valuable assets in any organization. The training focuses on critical thinking and problem-solving skills, empowering students to identify trends, forecast outcomes, and recommend actionable strategies based on their analyses. With a commitment to ensuring job readiness, SkillFloor provides comprehensive job placement support, including resume-building workshops, mock interviews, and networking opportunities with industry professionals. This dedicated support, combined with the practical training, prepares graduates to pursue diverse career paths in analytics, including roles in finance, healthcare, and IT. Ultimately, SkillFloor’s data analyst and business analytics courses equip students with the tools they need to thrive in an increasingly competitive job market.
The data Analytics Certification in Pune is designed to equip participants with essential skills and knowledge in data analysis and business intelligence. This certification program covers various topics, including data visualization, statistical analysis, and the use of popular tools like Tableau and Power BI. Participants will learn how to analyze data effectively and make informed decisions based on their findings. The course is suitable for beginners and those looking to enhance their analytical skills, providing practical training and hands-on experience. Upon completion, individuals will receive a certification that validates their expertise in analytics, helping them advance their careers in this growing field.
- 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