Data Science Python Programming COHORT 3 (EVENING)

Data science is one of the best-suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace. However, supply has been very limited. It is difficult to acquire the skills necessary to be hired as a data scientist.

The Gap

Universities have been slow at creating specialized data science programs. (Not to mention that the ones that exist are very expensive and time-consuming). Most online courses focus on a specific topic and it is difficult to understand how the skill they teach fit in the complete picture

What is Data Science?

Data science is a multidisciplinary field. It encompasses a wide range of topics such as Mathematics, Statistics, Python, and Applying advanced statistical techniques in Python, Data Visualization, Machine Learning, and Deep Learning. Each of these topics builds on the previous ones. Moreover, you risk getting lost along the way if you do not acquire these skills in the right order.

Our focus is to teach topics that flow smoothly and complement each other. The course teaches you everything you need to know to become a data scientist at a fraction of the cost of traditional programs (not to mention the amount of time you will save).

COURSE CONTENT

1. Introduction to Data and Data Analysis

• Big data,
• Business intelligence,
• Business analytics,
• Machine learning
• Artificial intelligence.

Why Learn Data Analysis

As a candidate data scientist, you must understand the ins and outs of each of these areas and recognize the appropriate approach to solving a problem. This ‘Intro to Data and data analysis will give you a comprehensive look at all these buzzwords and where they fit in the realm of data science.

3. Statistics

• Statistical Methods and Hypothesis Testing
• Descriptive statistics
• Inferential statistics
• Data modeling

Why Learn Statistics

You need to think like a scientist before you can become a scientist. This course doesn’t just give you the tools you need but teaches you how to use them. Statistics trains you to think like a scientist

4. Python programming

• Introduction to Programming
• Data mining
• Data manipulation, transformation, and visualization.
• Introduction to machine and deep learning

Why Learn Python

When it comes to developing, implementing, and deploying machine learning models through powerful frameworks such as sci-kit-learn, TensorFlow, etc., Python is a must-have programming language.

6. Machine Learning

• Machine learning techniques
• Deep learning methods with Tensor Flow

Why Learn Machine Learning

Machine learning is everywhere. Companies like Facebook, Google, and Amazon have been using machines that can learn on their own for years. Now is the time for you to control the machines.