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Best Data Analytics course in Jalandhar

Join the best Data Analytics course in Jalandhar at TechCadd! Gain hands-on skills in data analysis, visualization, and tools to excel in your career.

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Best Data Analytics course in Jalandhar

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  1. BEST DATA ANALYTICS COURSE IN JALANDHAR +91-9888122254| HTTPS://TECHCADD.COM/

  2. What is Data Analytics? Definition: The process of examining, cleaning, transforming, and modeling data Goal: Discover useful information, draw conclusions, and support decision-making

  3. THYNK UNLIMITED TYPE OF DATA ANALYTICS Descriptive Analytics Purpose: Understand what has happened Diagnostic Analytics Purpose: Understand why something happened Predictive Analytics Purpose: Forecast what is likely to happen Prescriptive Analytics Purpose: Recommend what actions to ta

  4. THYNK UNLIMITED THE DATA ANALYTICS PROCESS Data Collection Cleaning Handle missing values, remove duplicates Normalize, filter, and format the data Tool: Python (Pandas), Excel Gather relevant data from multiple sources Sources: Databases, web analytics, surveys, CRMs Example: Sales data, user behavior logs Data Analysis Interpretation, and Act Create reports, share findings with stakeholders Suggest next steps or decisions Deliverable: Slide deck, dashboard, written report Apply statistical methods or exploratory data analysis (EDA) Look for trends, patterns, and relationships Example: Correlation between discounts and cart abandonment

  5. THYNK UNLIMITED TOOLS USED IN DATA ANALYTICS 1. Spreadsheet Tools 2. Programming Languages 3. Business Intelligence (BI) Tools 4. Data Storage & Processing 5. Data Visualization Tools 6. Collaboration & Notebook Platforms

  6. THYNK UNLIMITED Series 1 Series 2 DATA VISUALIZATION 20 15 The graphical presentation of data using charts, graphs, dashboards, and maps. Helps transform raw data into clear, easy-to-understand visuals. A critical step in analytical insights. 10 5 communicating 0 Item 1 Item 2 Item 3

  7. THYNK UNLIMITED DATA CLEANING The process of identifying and correcting or removing: Inaccurate Incomplete Duplicate Irrelevant or improperly formatted data Before analysis begins.

  8. THYNK UNLIMITED CHALLENGES IN DATA ANALYTICS Poor data quality (incomplete, inconsistent, outdated) Data privacy and security concerns Managing and processing large volumes of data (Big Data) Shortage of skilled professionals Difficulty integrating diverse data sources and tools Misinterpretation or poor communication of results Keeping up with rapidly evolving technologies

  9. THYNK UNLIMITED THANK YOU +91-9888122255 HTTPS://TECHCADD.COM/

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