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Data Science Training Certification - PPT

Data Science Online Training Course by Multisoft Virtual Academy is a meticulously crafted program aimed at individuals eager to dive into the dynamic realm of data analytics and machine learning. This course equips learners with the foundational concepts of data science, encompassing data handling, statistical analysis, machine learning algorithms, and predictive modeling. <br><br>For more info please visit us: https://www.multisoftvirtualacademy.com/data-science/data-science-online-training

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Data Science Training Certification - PPT

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  1. Data Science Training Certification info@multisoftvirtualacademy.comwww.multisoftvirtualacademy.com (+91) 8130-666-206

  2. About Multisoft Take your skills to next level with Multisoft Virtual Academy, one of the leading certification training providers in the market. Collaborating with top technology companies, we offer world-class one-on-one and corporate trainings to empower professionals and businesses around the world. Delivering high-quality trainings through Multisoft’s global subject matter experts, we offer more than 1500 courses in various domains. Multisoft offers tailored corporate training; project Based Training, comprehensive learning solution with lifetime e-learning access, after training support and globally recognized training certificates. About Course Data Science Online Training Course by Multisoft Virtual Academy is a meticulously crafted program aimed at individuals eager to dive into the dynamic realm of data analytics and machine learning. This course equips learners with the foundational concepts of data science, encompassing data handling, statistical analysis, machine learning algorithms, and predictive modeling. info@multisoftvirtualacademy.comwww.multisoftvirtualacademy.com (+91) 8130-666-206

  3. Module 1: Foundation for Data Science Introduction to Data Science Analytics Landscape Life Cycle of a Data Science Projects Data Science Tools & Technologies Module 2: Probability & Statistics Measures of Central Tendency Measures of Dispersion Descriptive Statistics Probability Basics Marginal Probability Bayes Theorem Probability Distributions Hypothesis Testing Module 3: Basics of Python Install Anaconda Data Types & Variables String & Regular Expressions Module 4: Python Built-in Data Structures Python list Python dictionaries Python set Python tuple info@multisoftvirtualacademy.comwww.multisoftvirtualacademy.com (+91) 8130-666-206

  4. Comprehensions Module 5: Control & Loop Statements in Python For Loop While Loop Break Statement Next Statements Repeat Statement if, if…else Statements Switch Statement Module 6: Functions & Classes in Python Writing your own functions (UDF) Calling Python Functions Functions with Arguments Calling Python Functions by passing Arguments Lambda Functions Classes & Objects Module 7: Working with Data Reading files with Python Writing files from Python Reading files using Pandas library Saving Data using Pandas library Module 8: Analyze Data using Pandas Clean & Prepare Datasets info@multisoftvirtualacademy.comwww.multisoftvirtualacademy.com (+91) 8130-666-206

  5. Manipulate DataFrame Summarize Data Churn Insights from Data Module 9: Visualize Data Charts using Matplotlib Charts using Seaborn Charts using ggplot Module 10: Advanced Statistics & Predictive Modeling ANOVA Linear Regression (OLS) Case Study: Linear Regression Principal Component Analysis Factor Analysis Case Study: PCA/FA Logistic Regression (MLE) Case Study: Logistic Regression K-Nearest Neighbor Algorithm Case Study: K-Nearest Neighbor Algorithm Decision Tree Case Study: Decision Tree Module 11: Time Series Forecasting Understand Time Series Data Visualizing Time Series Components Exponential Smoothing info@multisoftvirtualacademy.comwww.multisoftvirtualacademy.com (+91) 8130-666-206

  6. Holt's Model Holt-Winter's Model ARIMA Case Study: Time Series Modeling on Stock Price Module 12: Introduction to Machine Learning What is Machine Learning? Supervised Learning Unsupervised Learning Using Scikit-learn Scikit-learn classes Case Study: Machine Learning Algorithm TARGET AUDIENCE Aspiring Data Scientists Statisticians Business Analysts Data Analysts IT Professionals Software Developers Machine Learning Enthusiasts info@multisoftvirtualacademy.comwww.multisoftvirtualacademy.com (+91) 8130-666-206

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