Become a Data Scientist: SQL, Tableau, ML & DL [4-in-1]

Become a Data Scientist: SQL, Tableau, ML & DL [4-in-1], available at $79.99, has an average rating of 4.35, with 335 lectures, 73 quizzes, based on 84 reviews, and has 1822 subscribers.

You will learn about 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. This course is ideal for individuals who are 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. or Professionals who want to upskill and add value to their existing roles by learning data science or Small business owners who want to use data to drive better decision-making in their companies It is particularly useful 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. or Professionals who want to upskill and add value to their existing roles by learning data science or Small business owners who want to use data to drive better decision-making in their companies.

Enroll now: Become a Data Scientist: SQL, Tableau, ML & DL [4-in-1]

Summary

Title: Become a Data Scientist: SQL, Tableau, ML & DL [4-in-1]

Price: $79.99

Average Rating: 4.35

Number of Lectures: 335

Number of Quizzes: 73

Number of Published Lectures: 331

Number of Published Quizzes: 71

Number of Curriculum Items: 408

Number of Published Curriculum Objects: 402

Original Price: $64.99

Quality Status: approved

Status: Live

What You Will 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.

Who Should Attend

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

Target Audiences

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

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 Python
Build strong foundations in data analysis, data visualization, and data modeling
Acquire hands-on experience in working with real-world datasets
Gain a deep understanding of the underlying concepts of Machine and Deep Learning
Learn to build and train your own predictive models using Python

Data 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 course

Part 1 – SQL for data science

In 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 Tableau

In 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 Python

In 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 Python

In 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 it
Creating interactive dashboards using Tableau
Implementing various Machine Learning algorithms
Building a Deep Learning model using Keras and TensorFlow

This 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 – Joshua

Thank you Author for this wonderful course. You are the best and this course is worth any price. – Daisy

Our Promise

Teaching 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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Installation and getting started

Lecture 1: Installing PostgreSQL and pgAdmin in your PC

Lecture 2: This is a milestone!

Lecture 3: If pgAdmin is not opening…

Lecture 4: Course resources

Chapter 3: Fundamental SQL statements

Lecture 1: CREATE

Lecture 2: Exercise 1: Create DB and Table

Lecture 3: Solutions to all Exercises

Lecture 4: INSERT

Lecture 5: Import data from File

Lecture 6: Exercise 2: Inserting and Importing data

Lecture 7: SELECT statement

Lecture 8: SELECT DISTINCT

Lecture 9: WHERE

Lecture 10: Logical Operators

Lecture 11: Exercise 3: SELECT, WHERE & Logical

Lecture 12: UPDATE

Lecture 13: DELETE

Lecture 14: ALTER Part – 1

Lecture 15: ALTER Part – 2

Lecture 16: Exercise 4: Update, Delete and Alter Table

Chapter 4: Restore and Back-up

Lecture 1: Restore and Back-up

Lecture 2: Debugging restoration issues

Lecture 3: Creating DB using CSV files

Lecture 4: Debugging summary and Code for CSV files

Lecture 5: Exercise 5: Restore and Back-up

Chapter 5: Selection commands: Filtering

Lecture 1: IN

Lecture 2: BETWEEN

Lecture 3: LIKE

Lecture 4: Exercise 6: In, Like & Between

Chapter 6: Selection commands: Ordering

Lecture 1: Side Lecture: Commenting in SQL

Lecture 2: ORDER BY

Lecture 3: LIMIT

Lecture 4: Exercise 7: Sorting

Chapter 7: Alias

Lecture 1: AS

Chapter 8: Aggregate Commands

Lecture 1: COUNT

Lecture 2: SUM

Lecture 3: AVERAGE

Lecture 4: MIN & MAX

Lecture 5: Exercise 8: Aggregate functions

Chapter 9: Group By Commands

Lecture 1: GROUP BY

Lecture 2: HAVING

Lecture 3: Exercise 9: Group By

Chapter 10: Conditional Statement

Lecture 1: CASE WHEN

Chapter 11: JOINS

Lecture 1: Introduction to Joins

Lecture 2: Concepts of Joining and Combining Data

Lecture 3: Preparing the data

Lecture 4: Inner Join

Lecture 5: Left Join

Lecture 6: Right Join

Lecture 7: Full Outer Join

Lecture 8: Cross Join

Lecture 9: Intersect and Intersect ALL

Lecture 10: Except

Lecture 11: Union

Lecture 12: Exercise 10: Joins

Instructors

Start-Tech Academy
5,000,000+ Enrollments | 4.5 Rated | 160+ Countries

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 11 votes
4 stars: 27 votes
5 stars: 45 votes

Frequently Asked Questions

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