Free Online Data Analytics Course
Data Analytics Course4+ hours
Skills you will master
- Data Science
- Data visualizations
- Artificial Intelligence
- Video Analytics
- Python Shells
- Machine Learning
- Linear Algebra
- Gradient Descent
- Predictive Analysis
- Random Forest
- Customer Analytics
- Marketing Analytics
Free Data Analytics Certification Course
This Free Online Data Analytics Course includes a comprehensive Data Analyst Courses with 4+ hours of video tutorials and Lifetime Access. You get to learn how to use Python in Data Science and to create fascinating data visualizations.
Data Analyst collects sources from different area filters and analysis them to get accurate information using statistical techniques and visualizes the output to the outside world. There is an increased demand for data analyst all around the world due to this effectiveness and efficiency acts as a backbone of every project. The final data are presented in the form of reports, charts and put their data in online databases. The major role is they bring proper insights about their customer needs in health care sectors, banks, retail shop, food management.
The main responsibilities of Data Analyst are to produce the accurate result it is important to see patterns in the data, collecting the data and optimizing, producing reports according to new trends, collaborating with other individuals (like managers, data scientist, architects, database developers. They use special tools to visualize the data and sort which includes Excel, SQL, Tableau. The key feature you will learn in data analyst course is about creating plots and visuals in data visualizations. in addition, you will learn data sets and how to read CSV files.
- Certificate of Completion
- Sample Preview
- Target Audience
- Career Benefits
About Free Online Data Analytics Course
|Course Name||Online Free Data Analytics Course|
|Deal||You get access to all the videos for free for the Lifetime|
|Hours||4+ Video Hours|
|Core Coverage||Learn how to use Python in Data Science and to create fascinating data visualizations.|
|Course Validity||Lifetime Access|
|Eligibility||Anyone who is serious about learning and wants to make a career in this Field|
|Pre-Requisites||Basic knowledge about would be preferable|
|What do you get?||Certificate of Completion for each of the course|
|Certification Type||Course Completion Certificates|
|Verifiable Certificates?||Yes, you get verifiable certificates for each course with a unique link. These link can be included in your Resume/Linkedin profile to showcase your enhanced skills|
|Type of Training||Video Course – Self Paced Learning|
|System Requirement||1 GB RAM or higher|
|Other Requirement||Speaker / Headphone|
Free Online Data Analytics Course Curriculum
In this training, you will be trained on how to use python in Data Visualizations. The Free Online Data Analytics Course curriculum involves:
- Introduction To data science and data visualizations which covers development setups, an overview of course details, how to read and write python programming and bridge connectors between python and JS and would be using several python libraries for data visualizations. And shows how to use resources with python which is used to analyze it and sample scripts followed by loops in Python. next understanding data visualizations and various types of charts like bar, Line, scatter.
- What is data science?
Brief notes on Understanding data Science. Learn how to use Python environment Framework and covers major concepts on Various Python scripts. This course will give you in learning the importance of data science.
- Advanced Python
In this section, you will learn advanced concepts on Python by learning fundamentals on Creating framework on functions for python, creating a New Library to access call back functions, how to Create first Bar charts, Analysis on Line Chart. This also includes discussion on Understanding Scattered Plots. in short, you will get to know advanced python methods and data storages. And examples of how to use charts.
- Linear Algebra
This chapter showcases various Vector Spaces in Linear Algebra. It is necessary for machine learning techniques in pythons. This chapter attempts to provide concepts on Matrices and matrix operations in Linear Algebra and how to work with them including Analysing Statistical data and implementing them. And well look at Understanding central Tendencies and learning various Dispersion for data.
To learn more combinations and permutations on statistical data it is recommended to learn probability which is the part of data science. Using python, you will learn all the foundation like Probability in Discrete Mathematics, chapters on Normal Distribution curve and their formulas with an Example for Normal Distribution Curve. you will also learn about central Limit theorem as sample means of approaches and clear explanation on why it is important to data scientists. concept of Hypothesis to understand how it works and defines hypothesis testing in statistical methods with an example on Hypothesis testing. In this section, you will explore – defining the Next value in the probability. presenting probability distributing principles of P Hacking tool. Understanding Bayesian Inference to show mechanics in action for learning from data. To understand the notation of predictor values we go for Line of Best Fit. Lastly a brief introduction to Data Science with Gradient Descent and example on Gradient Descent.
- Gradient Descent
Following Is a concept on gradient Descent an optimization method to find target function. Here you will learn about Value import to determine minimum value. Also measures output Functions for Gradient with an efficient algorithm to map input and output using predictor functions. Next covers Working with data Analysis when a new data arrives working on business requirements by refining the models. To view a visual representation of data Creating Normal histogram is mandatory to process with a running example. To learn directional directive Two-dimensional Graph functions is used to plot the solutions. Setting up -Multiple Scatter Plots on a two dimensional to specify a color. Learning algorithms for Analysing data sets for evaluation. exploring analysis and predicting time series analysis in a python is an important factor. To get a summary of a set of data Learning Box Plots helps to draw a box from quartile.
Reaching conclusions about the concepts you will be able to understand the concepts of python used in visualizations. In this course, you will be well trained by learning how to make better plots in fewer times from a sample of data. Data analyst helps in business by predicting the needs. Visualizations play a major role in big organizations according to the types of data been used.
Free Data Analytics Course – Certificate of Completion
What is Data Analytics?
We live in a world of data; any companies or organizations need to deal with their products or service to the outside world in which data are backed up. This training covers the topics on how to use python in data analyses, data visualization and how to implement to data science. you will learn more complex visualizations techniques and fundamentals. Data visualizations with python visualize two- and three-dimensional graphs, plots, charts and customizing it. Data Analyst responsibilities are to collect and gather data from various sectors and do statistical analyses of data. They prepare reports and develop analysis to improve quality. There are different types of data analyst field but their goal is the same which includes marketing analyst, business analysts, financial analyst etc. Being a data analyst, you would claim to have a good career scope in the jobs. They assist in taking database decisions and are equally demanded in their work. Exact scenarios are they have to extract insights and values from the stacked volumes of data.
Which tangible skills you will learn in this Course?
Skills you will gain through this Free Online Data Analytics Course is Python Programming, Data Visualizations. You will be well equipped in knowledge to create interesting graphics and charts varieties, creating complex visualizations to make them more elegant to the audience. You will get to know to create own data science projects. It allows creating line charts and how to apply color schemes for graphs. You can expand your skillset in scientific calculations and computing by learning the basics of data analysis using Python. You can level up your skills in writing error handling, objects and writing functions in python, working with complex data visualizations techniques as well. This course will equip you with manipulating and working with industry-based projects. You will learn how to fetch data and present data that makes a sense to the customers.
Basic python knowledge for data Science and familiar in writing loops, writing functions parts, method calling on objects remotely or locally can get a head start to this course. Skills required to learn data analytics are visualization of data, basic SQL, scripting and database design. A key pre-requisite is having knowledge of analytical mindset, inquisitive mind, and logical thinking. And need natural lean toward mathematics and strong grounding on statistics which helps in learning algorithms. Knowledge on creating data visualizations, techniques on reporting and big tools, understanding machine learning for analysts. General understanding of computing concepts and terminologies is recommended.
This Free Online Data Analytics Course is intended for attendees interested in learning python with visualizations, looking to make a career in data science, data analysts. Professionals who are interested to shift their career domain. General audience like Managers, System analysts, Software engineer, and developers could be a general audience. Technical administrators, business Intelligence developer, and marketing professionals can do this course. The target customers involve business analysts, marketing analysts, data researchers, and delegates interested in pursuing data visualizations for their websites.
Careers in data science have excellent job opportunities to enter into the market. Employees with skills in python have high value to compete in the world. Data analyst professionals and data analyst have the highest pay. Data scientist are booming and gaining importance in the current trend as they are responsible for writing algorithms, calculations, to sort and analyze the data. You can plan your career path as a data analyst at various job titles like Business Analyst in IT, Operation Team leader, Financial analyst. You could expect good salaries for freshers and have great future growth plans as a senior level. This course helps in gaining business analytical skills which refine your skills. Data analyst is the best career move as they create the best insights to business and are in high demand. There are many certifications course available. Taking up this data analyst certification in data visualizations helps you to broaden your skills. There is a demand for analyst’s professionals as organizations looking for ways to explore analysts for data patterns and statistics and they are paid big bucks for right positions.
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