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

  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 DATA VISUALIZATION • 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 communicating analytical insights.

  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 THYNK UNLIMITED CHALLENGES IN DATA ANALYTICS • Poor data quality (incomplete, inconsistent, outdated) • Data privacy and security concerns • Managing and processing large volumes of data (Big Data) • Shortage of skilled professionals • Difficulty integrating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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