使用Python成为数据科学家SQL、Tableau、ML和DL视频教程

4合1包涵盖了数据科学家的4个基本主题——SQL、Tableau、机器和使用Python的深度学习，如果您是一名好奇的学习者，希望深入到令人兴奋的数据科学世界，那么本课程就是为您量身定制的！您想掌握在数据科学领域取得成功所需的基本技能吗？你渴望使用Python开发SQL、Tableau、机器和深度学习方面的专业知识吗？如果您的回答是响亮的“是”，那么请加入我们，踏上成为数据科学家的旅程！Become a Data Scientist SQL, Tableau, ML & DL using Python

在本课程中，您将全面了解SQL、Tableau、机器学习和使用Python的深度学习。您将发展必要的技能来分析数据，可视化见解，建立预测模型，并得出可行的业务解决方案。以下是本课程的一些主要好处:发展对SQL、Tableau、Machine & amp使用python进行深度学习在数据分析、数据可视化和数据建模方面打下坚实的基础获得处理真实数据集的实践经验深入理解机器和深度学习的基本概念学习使用python构建和训练自己的预测模型数据科学是一个快速发展的领域，非常需要能够分析数据并提供宝贵见解的熟练专业人员。通过学习SQL，Tableau，Machine & amp深度学习使用Python，你可以在数据科学、人工智能和分析领域开启一个职业机会的世界。

这门课程包括什么？对数据的分析并不是分析的主要症结。正是这种解释，在应用分析技术之后，帮助提供洞察力，使得分析成为如此重要的学科。我们使用了最流行的分析软件工具，包括SQL、Tableau和Python。这将帮助之前没有编码背景的学生学习和实现分析和机器学习概念，以实际解决数据科学的现实问题。让我简单介绍一下课程第1部分-SQL & nbsp；对于数据科学，在第一部分，即用于数据分析的SQL，我们将教你在业务中进行数据分析所需的SQL的所有内容。我们将从基本的数据操作开始，如创建一个表，从表中检索数据等。稍后，我们将学习高级主题，如子查询、连接、数据聚合和模式匹配。第2部分-使用表格进行数据可视化在这一部分中，您将学习如何开发令人惊叹的仪表板、可视化和洞察力，使您能够有效地探索、分析和交流您的数据。您将掌握关键的Tableau概念，如数据混合、计算和映射。在本部分结束时，您将能够创建引人入胜的可视化效果，使您能够自信地做出数据驱动的决策。第3部分——使用python进行机器学习在这一部分中，我们将首先给出一个python速成班，让你开始使用这种编程语言。然后我们将学习如何在建立机器学习模型之前预处理和准备数据。一旦数据准备好，我们将开始建立不同的回归和分类模型，如线性和逻辑回归，决策树，KNN，随机森林等。第4部分-使用PythonIn进行深度学习在最后一部分中，您将学习如何制作神经网络来发现数据中的复杂模式，并制作预测模型。我们还将学习图像识别模型背后的概念，并为此建立一个卷积神经网络。

在整个课程中，您将参与几项活动，例如:构建SQL数据库并从中检索相关数据使用表格创建交互式仪表盘实施各种机器学习算法使用Keras和TensorFlowThis构建深度学习模型本课程独一无二，因为它涵盖了数据科学家的四个基本主题，提供了全面的学习体验。您将向在数据科学领域拥有实践经验并处理过真实数据集的行业专家学习。我们凭什么有资格教你？该课程由Abhishek(工商管理硕士- FMS德里，B. Tech – IIT鲁尔基)和Pukhraj(工商管理硕士- IIM艾哈迈达巴德，B. Tech – IIT鲁尔基)教授。作为全球分析咨询公司的经理，我们已经帮助企业使用分析解决他们的业务问题，并且我们已经利用我们的经验将业务分析的实际方面纳入本课程。我们有商业分析的实际经验。我们也是一些最受欢迎的在线课程的创建者-注册人数超过120万，有数千个像这样的五星评论:这很好，我喜欢所有的解释都能被外行人理解的事实-感谢你这个精彩课程的作者。

你是最棒的，这个课程值得任何代价。你的承诺教我们的学生是我们的工作，我们致力于此。如果您对课程内容、练习单或与任何主题相关的任何内容有任何疑问，您可以随时在课程中提出问题或直接给我们发送消息。不要错过这个成为数据科学家并释放您全部潜力的机会！立即注册，开始您的数据科学职业生涯。

由Start-Tech学院创建
MP4 |视频:h264，1280×720 |音频:AAC，44.1 KHz，2声道
类型:电子教学|语言:英语|时长:308节课(36小时20分钟)|大小:15.5 GB

这门课程是给谁的
希望成为数据科学家或使用SQL、Tableau、机器学习和使用Python的深度学习来增强数据分析、可视化和建模技能的个人。
希望通过学习数据科学来提升现有职位技能并增加其价值的专业人士
希望利用数据推动公司更好决策的小型企业主

你会学到什么
打下坚实的SQL基础，了解如何使用SQL查询来操作和检索数据库中的数据。
探索Tableau的功能，并学习创建交互式可视化，以有效地向利益相关者传达见解。
掌握机器学习的概念，学会用Python实现各种机器学习算法。
探索深度学习的基础知识，了解如何使用Keras和TensorFlow建立和训练深度神经网络。
探索数据预处理和特征工程的技术，包括处理缺失值和编码分类变量
掌握模型选择和评估的艺术，包括交叉验证、超参数调整和防止过拟合的技术。
探索深度神经网络的原理，并学习构建和训练用于图像分类的卷积神经网络(CNN)。
探索迁移学习，了解如何微调预先训练的CNN，以解决不同领域中的类似问题。

要求
一台可以上网的电脑。所有工具的安装说明都是课程的一部分。

4-in-1 Bundle covering the 4 essential topics for a data scientist – SQL, Tableau, Machine & Deep Learning using Python

What you’ll learn
Develop a strong foundation in SQL and understand how to use SQL queries to manipulate and retrieve data from a database.
Explore the features of Tableau and learn to create interactive visualizations to effectively communicate insights to stakeholders.
Master the concepts of machine learning and learn to implement various machine learning algorithms using Python.
Discover the basics of Deep Learning and understand how to build and train a deep neural network using Keras and TensorFlow.
Explore techniques for data preprocessing and feature engineering, including handling missing values and encoding categorical variables
Master the art of model selection and evaluation, including techniques for cross-validation, hyperparameter tuning, and overfitting prevention.
Discover the principles of deep neural networks and learn to build and train a convolutional neural network (CNN) for image classification.
Explore transfer learning and understand how to fine-tune a pre-trained CNN to solve a similar problem in a different domain.

Requirements
A PC with internet connection. Installation instructions for all tools used are part of the course.

Description
If you are a curious learner looking to dive into the exciting world of data science, then this course is tailor-made for you! Do you want to master the essential skills required for a successful career in data science? Are you eager to develop expertise in SQL, Tableau, Machine and Deep Learning using Python? If your answer is a resounding “yes,” then join us and embark on a journey towards becoming a data scientist!In this course, you will gain a comprehensive understanding of SQL, Tableau, Machine Learning, and Deep Learning using Python. You will develop the necessary skills to analyze data, visualize insights, build predictive models, and derive actionable business solutions. Here are some key benefits of this course:Develop mastery in SQL, Tableau, Machine & Deep Learning using PythonBuild strong foundations in data analysis, data visualization, and data modelingAcquire hands-on experience in working with real-world datasetsGain a deep understanding of the underlying concepts of Machine and Deep LearningLearn to build and train your own predictive models using PythonData science is a rapidly growing field, and there is a high demand for skilled professionals who can analyze data and provide valuable insights. By learning SQL, Tableau, Machine & Deep Learning using Python, you can unlock a world of career opportunities in data science, AI, and analytics.What’s covered in this course?The analysis of data is not the main crux of analytics. It is the interpretation that helps provide insights after the application of analytical techniques that makes analytics such an important discipline. We have used the most popular analytics software tools which are SQL, Tableau and Python. This will aid the students who have no prior coding background to learn and implement Analytics and Machine Learning concepts to actually solve real-world problems of Data Science.Let me give you a brief overview of the coursePart 1 – SQL for data scienceIn the first section, i.e. SQL for data analytics, we will be teaching you everything in SQL that you will need for Data analysis in businesses. We will start with basic data operations like creating a table, retrieving data from a table etc. Later on, we will learn advanced topics like subqueries, Joins, data aggregation, and pattern matching.Part 2 – Data visualization using TableauIn this section, you will learn how to develop stunning dashboards, visualizations and insights that will allow you to explore, analyze and communicate your data effectively. You will master key Tableau concepts such as data blending, calculations, and mapping. By the end of this part, you will be able to create engaging visualizations that will enable you to make data-driven decisions confidently.Part 3 – Machine Learning using PythonIn this part, we will first give a crash course in python to get you started with this programming language. Then we will learn how to preprocess and prepare data before building a machine learning model. Once the data is ready, we will start building different regression and classification models such as Linear and logistic regression, decision trees, KNN, random forests etc.Part 4 – Deep Learning using PythonIn the last part, you will learn how to make neural networks to find complex patterns in data and make predictive models. We will also learn the concepts behind image recognition models and build a convolutional neural network for this purpose. Throughout the course, you will work on several activities such as:Building an SQL database and retrieving relevant data from itCreating interactive dashboards using TableauImplementing various Machine Learning algorithmsBuilding a Deep Learning model using Keras and TensorFlowThis course is unique because it covers the four essential topics for a data scientist, providing a comprehensive learning experience. You will learn from industry experts who have hands-on experience in data science and have worked with real-world datasets.What makes us qualified to teach you?The course is taught by Abhishek (MBA – FMS Delhi, B. Tech – IIT Roorkee) and Pukhraj (MBA – IIM Ahmedabad, B. Tech – IIT Roorkee). As managers in the Global Analytics Consulting firm, we have helped businesses solve their business problems using Analytics and we have used our experience to include the practical aspects of business analytics in this course. We have in-hand experience in Business Analysis.We are also the creators of some of the most popular online courses – with over 1,200,000 enrollments and thousands of 5-star reviews like these ones:This is very good, i love the fact the all explanation given can be understood by a layman – JoshuaThank you Author for this wonderful course. You are the best and this course is worth any price. – DaisyOur PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet, or anything related to any topic, you can always post a question in the course or send us a direct message.Don’t miss out on this opportunity to become a data scientist and unlock your full potential! Enroll now and start your journey towards a fulfilling career in data science.

Who this course is for
Individuals who want to become data scientists or enhance their skills in data analysis, visualization, and modeling using SQL, Tableau, Machine Learning, and Deep Learning using Python.
Professionals who want to upskill and add value to their existing roles by learning data science
Small business owners who want to use data to drive better decision-making in their companies