Data Science Complete Course for Beginners (Urdu Tutorials)
About This Course
What Does a Data Scientist Do?
A data scientist is an expert of getting hold of meaningful information from analyzing business or workplace data. To rephrase, it means that a data scientist helps to solve problems arising in business through certain steps. These steps are;
- Before getting into collecting data or analyzing, the data scientists asks accurate questions to get a deeper plunge into the problem.
- He then looks out for the right data sets and variables.
- A skilled data scientist collects data in different structures and forms from various sources such as public data or enterprise data.
- After gathering data the scientist processes the raw form of data into the required format for further analysis. This step comprises of putting data into a clean, uniform and complete form.
- The data is then stored into an analytic system which can be either statistical model or ML algorithm. In this major part a data scientists get insight of patterns and trends by analyzing and identifying.
- At this step the data scientist interprets the data to look for the right solutions and feasible opportunities.
- The data scientist ends his job by grasping insight and securing results to share with the required company or stakeholder.
Course Outline:
Lesson No. 1 | Data Science | Data Science Introduction
Lesson No. 2 | Data Science | Data And It’s Processing
Lesson No. 3 | Data Science | Statistics And Probability
Lesson No. 4 | Data Science | Confusion Matrix
Lesson No. 5 | Data Science | Numpy Introduction
Lesson No. 6 | Data Science | Python VS Numpy
Lesson No. 7 | Data Science | Different Functions On Numpy
Lesson No. 8 | Data Science | ND Array
Lesson No. 9 | Data Science | D-Type Array
Lesson No. 10 | Data Science | Array Indexing
Lesson No. 11 | Data Science | Concatenation
Lesson No. 12 | Data Science | Pandas Introduction
Lesson No. 13 | Data Science | Panda Series Of Object
Lesson No. 14 | Data Science | Pandas Data Frame
Lesson No. 15 | Data Science | Function Application And Mapping
Lesson No. 16 | Data Science | Selection With Loc And Iloc
Lesson No. 17 | Data Science | Data Loading
Lesson No. 18 | Data Science | Handling Missing Data
Lesson No. 19 | Data Science | Hierarchical Indexing
Lesson No. 20 | Data Science | Combining And Merging Datasets
Lesson No. 21 | Data Science | Pivoting long To Wide Format
Lesson No. 22 | Data Science | Matplotlib
Lesson No. 23 | Data Science | Machine Learning Algorithms in Data Science
Lesson No. 24 | Data Science | PCA
Lesson No. 25 | Data Science | Project of DS Example