Ascent Software Training Institute offers a Data Analytics course for students in Bangalore. This course is taught by experts from the industry and will expose them to data science, which is a powerful tool that companies use today. Ascent Software Training institute offers Data Analytics Training in Bangalore that equips students to master critical skills like hypothesis testing, regression analyses, data extraction, descriptive statistics and inferential statistics.Â
Students will have a thorough understanding of the tools and technologies that are used for Data Analytics at the end of this Data Analytics program, such as SQL, Tableau, R SAS, Data Visualization Python, BI and Excel. After completing the comprehensive data analytics certification in Bangalore, you will be ready to assume the role of a data analyst.Â
Ascent Software Training Institute has a team of professionals who have extensive experience in data analytics and science. Each course is designed to match the in-demand careers in Data Engineering and Data Science that our team has. We are dedicated to helping you succeed with our data analytics training in Bangalore BTM, whether it’s a career shift, new direction or starting a Data Science job.Â
What is the primary objective of the Data Analytics course in Bangalore?Â
Data Analytics Courseware has been designed by experts to help you gain proficiency with Data Analytics tools, methodologies and techniques.
Learn how to use R and statistical computing.
Data analysis requires a firm grasp of both linear and non-linear regression models, as well as classification techniques.
Learn how to use Excel for Business Analytics.
The Data Analytics course covers Excel, Advanced Excel Tableau, SQL Power BI, R and Python.
Prerequisites for Data Analytics Course
The Data Analytics Course is designed for professionals with good knowledge of excel, Hadoop, and business analysis. There are also specific skills needed to become a data analyst. This includes-
- Programming languages: He must be familiar with R and SAS, as well as data collection and analysis.
- Effective communication: A smart strategy for success is to communicate assertively. The audience must be informed if they are part of the decision-making team.
- Hands-on advanced MS Excel training: The students must be able to perform sophisticated analysis and modeling.
Ascent Software Training Institute offers a Data Analytics course for students in Bangalore. This course is taught by experts from the industry and will expose them to data science, which is a powerful tool that companies use today. Ascent Software Training institute offers Data Analytics Training in Bangalore that equips students to master critical skills like hypothesis testing, regression analyses, data extraction, descriptive statistics and inferential statistics.Â
Students will have a thorough understanding of the tools and technologies that are used for Data Analytics at the end of this Data Analytics program, such as SQL, Tableau, R SAS, Data Visualization Python, BI and Excel. After completing the comprehensive data analytics certification in Bangalore, you will be ready to assume the role of a data analyst.Â
Ascent Software Training Institute has a team of professionals who have extensive experience in data analytics and science. Each course is designed to match the in-demand careers in Data Engineering and Data Science that our team has. We are dedicated to helping you succeed with our data analytics training in Bangalore BTM, whether it’s a career shift, new direction or starting a Data Science job.Â
What is the primary objective of the Data Analytics course in Bangalore?Â
Data Analytics Courseware has been designed by experts to help you gain proficiency with Data Analytics tools, methodologies and techniques.
Learn how to use R and statistical computing.
Data analysis requires a firm grasp of both linear and non-linear regression models, as well as classification techniques.
Learn how to use Excel for Business Analytics.
The Data Analytics course covers Excel, Advanced Excel Tableau, SQL Power BI, R and Python.
Prerequisites for Data Analytics Course
The Data Analytics Course is designed for professionals with good knowledge of excel, Hadoop, and business analysis. There are also specific skills needed to become a data analyst. This includes-
- Programming languages: He must be familiar with R and SAS, as well as data collection and analysis.
- Effective communication: A smart strategy for success is to communicate assertively. The audience must be informed if they are part of the decision-making team.
- Hands-on advanced MS Excel training: The students must be able to perform sophisticated analysis and modeling.
Power BI Course Training Options
Tools Included in Data Analytics Course
SQL, EXEL , Tablue, Power bi, R Pgoramming, Python , rapidminor, Quick view, Â
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Overview of Data Analytics Courses in BangaloreÂ
Candidates will receive a certificate after completing the Data Analytics Course at Ascent Software Training Institute in Bangalore. This certificate proves that the candidate has a solid understanding of concepts like Data Visualization and Data Mining. This certificate of completion for the Data Analytics Course will enhance the credibility of your abilities.Â
The certification course covers different aspects of data sciences, such as Excel, Advanced Excel and Tableau. Students are also given practical tasks and projects in addition to theory lectures.Â
Aspirants who want to get into data science should search for data analytics courses near me online. Ascent Software Training Institute will be the result. Our training doesn’t end with a single course. We offer 100% placement to all certified students. After completing our data analytics certification in Bangalore, we have strong ties with IT companies that provide placements.Â
Data Analytics is used by content companies to convince consumers to click on, reorganize or watch their content multiple times to increase views and clicks. It’s also important to remember that Data Analytics isn’t just used by investment banks and private-equity firms. They’re widely used across various industries including marketing, healthcare, and retail.Â
Data Analytics Overview
Data analytics is a crucial component of the business world. In the last few years, businesses have started to collect data on all aspects of sales, research and customer service. The industry operating framework has made it necessary to standardize the storage of data and security management. Data Analytics can be used by organizations to make business decisions that are based on Scientific Data and Research Analysis.Â
According to a NASSCOM study, it is expected that the Data Analytic Sector will grow by 32 percent in the global market. Its current level of $2 billion should increase to $16 billion at the end of 2025. This has led to a massive increase in the demand for data analysts.Â
Data analytics is an umbrella term that covers a wide range of techniques for data analysis. Data analytics allows businesses to sort through mountains of information, looking for hidden patterns and correlations. Many organizations have found that data is their lifeblood. The company was able to take more accurate and informed decisions to improve its efficiency. Data analytics can help improve the efficiency of an organization’s operations and execution.Â
It detects and fixes problems within data sets with the help of data cleansing. It improves data quality for both the customer and organizations like banks, insurance companies, and financing firms. The benefits to organizations are:Â
- This software eliminates redundant data, allowing for significant RAM savings. The company’s cost is reduced.Â
- This tool helps to present appropriate advertising on online shopping sites based on historical data and customer purchase behavior.Â
- This reduces the risk of fraud by detecting potential clients using historical data. The institution can use this information to determine whether or not they should provide the applicant with a credit card or loan.Â
Data Scientists work with data in many ways. They can do everything from data collection, data cleansing, data mining, statistical analysis and forecasting to predictive modeling and data optimization. Data Scientists do not provide a single solution, but rather the best solution available from the various options.Â
Ascent Software Training Institute is one of the leading Data Analytics Training Institutes located in Bangalore. We ensure that students get the best possible learning experience. The course is divided into modules that are suitable for both beginners and experienced students. It is designed to impart skills, knowledge, and hands-on expertise to participants. Data analytics near me is a good option for those who have mastered data scanning and want to move up in their careers. There are also other benefits.Â
- NumPy multidimensional arrays and the ability to understand and work with Python effectively are essential.Â
- Learn the basics of grouping, graphing and sampling.Â
- Ascent Software Training Institute provides over 50+ assignments for you to put the theory into practice. This is the best method to gain hands-on knowledge of the concepts taught by Ascent trainers.Â
- Students can also receive complete support after training. Our trainer will be your dedicated mentor, helping you with assignments and interview prep.Â
- Data Analytics Training by Experts with over ten year’s experience in the Big Data Field.Â
Professionals who are looking to advance their career can take advantage of Business Analytics, Data Analytics Certification and Data Science Certificate Programs in Bangalore. This includes:Â
- Professionals who develop business intelligence and reporting softwareÂ
- Data warehouse professionals are skilled in this field.Â
- Statisticians include economists and mathematicians.Â
- Software developersÂ
- Business AnalystsÂ
Ascent Software Training Institute’ Data Analytics courses in Bangalore can help you land a job at some of India’s most prestigious companies. Our data analytics training with Bangalore placement helped students land a job that matched their skill.Â
The following are some key features:Â
- Classes that are 100% oriented towards placementÂ
- Practical classes of 100+ hoursÂ
- Job portal for internal employeesÂ
- Mock interviewsÂ
- 24/7 SupportÂ
- More than 100 hours of practical learning.
- Six industrial projects with numerous case studies.Â
- You’ll have lifetime access to self-paced learning and class recordingsÂ
- Classes are 100% placement oriented.Â
- There are about ten branches in Bangalore for classroom training.Â
- The course is taught by Data Analytics Certified Professionals.Â
- Unlimited interviews and an internal job portal.Â
Best Data Analytics Training Institution in Bengaluru for Certification and PlacementÂ
Real-time Experience AssistanceÂ
You will be taught by industry experts who are passionate about passing on their knowledge to learners. You will be mentored by experts.Â
Live work ProjectsÂ
You can gain valuable experience by working on real-time projects. Showcase your project experience to increase your chances of getting hired!Â
Certification:Â
Students will receive a certificate of completion for completing a course in data analytics. The certificate includes a practical and lab session completion certificate.Â
Global PartnershipsÂ
Ascent Software Training Institute has a long-term partnership with MNCs that helps students get placements and attractive packages.Â
Data Analytics Course Training Options includeÂ
Group TrainingÂ
If you have three or more people on your course, we will gladly offer you a group discount.Â
Personal training:Â Â
Our online training :
Course will help you become a certified expert in only one month.
The Role-Based Data Analytics Training Course in BangaloreÂ
Data ScientistÂ
Create models to support different margin awareness initiatives.Â
Data Analyst:Â
Keep data engineering standards in mind when using online data visualization tools like Tableau and Apteryx.Â
 Visualization and Reporting AnalystÂ
Create data visualizations which are dynamic and intuitive.Â
Business Intelligence AnalystÂ
Identify, create, and implement methodologies for data analysis that will allow the team to make a significant impact on the business.Â
The Data Analytics Course ContentÂ
Business Statistic’s
Introduction to Statistical AnalysisÂ
- Probability, Counting and Probability DistributionsÂ
- Sample DistributionsÂ
- Estimation of Hypothesis and Hypothesis TestingÂ
- Scatter DiagramÂ
- Anova and ChisquareÂ
- Imputation TechniquesÂ
- Data CleaningÂ
- Correlation and regressionÂ
Introduction to Data Analytics
- Data Analytics OverviewÂ
- Data Analytics: Its ImportanceÂ
- Types of data analyticsÂ
- Descriptive AnalysisÂ
- Diagnostic AnalyticsÂ
- Predictive AnalysisÂ
- Prescriptive AnalysisÂ
- Data Analytics: BenefitsÂ
- Data Visualization for Decision MakingÂ
- Measures of dispersion, Data types, Measures of Central TendencyÂ
- Graphical Techniques: Skewness and Kurtosis. Box PlotÂ
- Descriptive StatisticsÂ
- Sampling Funnel and Sampling Variation and Central Limit Theorem and Confidence IntervalÂ
Basic ExcelÂ
- Excel tutorialÂ
- Text in ColumnsÂ
- ConcatenateÂ
- Concatenate FunctionÂ
- The Right Function with ConcatenationÂ
- Absolute Cell ReferencesÂ
- Data ValidationÂ
- Calculate the time and dateÂ
- Conditional FormattingÂ
- Explore Styles and Clear FormattingÂ
- Use Conditional Formatting to Hide CellsÂ
- Use the IF FunctionÂ
- Change the value of “Value If false” condition to textÂ
- Pivot TablesÂ
- Pivot table creationÂ
- Specification of PivotTable dataÂ
- Change a PivotTables calculationÂ
- Filtering and sorting a pivotableÂ
- Pivot Charts: How to Create OneÂ
- Grouping ItemsÂ
- Update a Pivot TableÂ
- Formatting a pivotableÂ
- Slicers are a great way to cut food
- ChartsÂ
- How to create a simple chartÂ
- Charting Cells That Are Not AdjacentÂ
- Create a chart using the Chart WizardÂ
- Modifying ChartsÂ
- Move an embedded chartÂ
- Size an embedded chartÂ
- Change the chart typeÂ
- Chart TypesÂ
- Change the way data is displayedÂ
- The Legend MovesÂ
- Formatting ChartsÂ
- Add Chart ItemsÂ
- Formatting TextÂ
- Formatting and Aligning Numeric ValuesÂ
- Formatting the Plot AreaÂ
- Formatting Data MarkersÂ
- Pie ChartsÂ
- Create a pie chartÂ
- Move the Pie Chart to a separate sheetÂ
- Add Data LabelsÂ
- Exploding the Slice of a Pie DiagramÂ
- Data Analysis OverviewÂ
- Types of Data AnalysisÂ
- Data Analysis ProcessÂ
- Range Names: How to Use ThemÂ
- Formula Autocomplete: Copy NameÂ
- Range Name Syntax RulesÂ
- Create Range NamesÂ
- Creating Constant NamesÂ
- Managing namesÂ
- The scope of a nameÂ
- Editing namesÂ
- Applying namesÂ
- Names as FormulasÂ
- Viewing names in a workbookÂ
- Copying Formulas with NamesÂ
- What is the difference between tables and ranges?Â
- Create TableÂ
- Table NameÂ
- Managing names in a tableÂ
- Table Headers replacing Column LettersÂ
- Spreading a formula in a tableÂ
- Resize TableÂ
- Remove DuplicatesÂ
- Convert to RangeÂ
- Table Style OptionsÂ
- Table StylesÂ
- Clean Data with Text FunctionsÂ
- Remove unwanted characters from textÂ
- Extracting data values from textÂ
- Formatting data with text functionsÂ
- Advance ExcelÂ
- Date FormatsÂ
- Conditional FormattingÂ
- SortingÂ
- FilteringÂ
- Search FunctionsÂ
The Syllabus for SQL Training
- Oracle Database: IntroductionÂ
- Use SQL SELECT to retrieve dataÂ
- Learn how to restrict and sort dataÂ
- Use of single-row functions to customize outputÂ
- Use conditional expressions and conversion functionsÂ
- Use the group functions to aggregate dataÂ
- Join tables to display data from multiple tablesÂ
- Use sub-questions to solve queriesÂ
- The SET OperatorsÂ
- Data Manipulation StatementsÂ
- Create and manage tables using DDL statementsÂ
- Other Schema ObjectsÂ
- Control User AccessÂ
- Schema Objects ManagementÂ
- Data Dictionary Views: Manage ObjectsÂ
- Manipulate large data setsÂ
- Data Management in Different TimezonesÂ
- Retrieve data using sub-queriesÂ
- Regular Expression Support
Tableau Course Material
Module 1: TableauÂ
- Start PageÂ
- Show MeÂ
- Connecting Excel FilesÂ
- Connecting to Text FilesÂ
- Connect to Microsoft SQL ServerÂ
- Connecting Microsoft Analysis ServicesÂ
- Create and Remove HierarchiesÂ
- BinsÂ
- Joining tablesÂ
- Data BlendingÂ
Module 2: Learn Tableau Basic ReportsÂ
- ParametersÂ
- Grouping Example 1.Â
- Examples of Grouping 2Â
- Edit GroupsÂ
- SetÂ
- Combination SetsÂ
- How to Create Your First ReportÂ
- Data LabelsÂ
- FoldersÂ
- Sorting DataÂ
- Reports can be customized to include totals, subtotals and grand totalsÂ
Module 3: Learn Tableau ChartsÂ
- Area ChartÂ
- Bar ChartÂ
- Box PlotÂ
- Bubble ChartÂ
- Bump ChartÂ
- Bullet DiagramÂ
- Circle ViewsÂ
- Dual Combination ChartÂ
- Dual Lines ChartÂ
- Funnel ChartÂ
- Traditional Funnel ChartsÂ
- Gantt ChartÂ
- Chart with Side by Side or Grouped BarsÂ
- HeatmapÂ
- Highlight TableÂ
- HistogramÂ
- Cumulative HistogramÂ
- Line ChartÂ
- Lollipop ChartÂ
- Pareto ChartÂ
- Pie ChartÂ
- Scatter PlotÂ
- Stacked Bar ChartÂ
- Text LabelÂ
- Tree MapÂ
- Word CloudÂ
- Waterfall ChartÂ
Module 4: Learn Tableau Advanced ReportsÂ
- Dual Axis ReportsÂ
- Blended AxisÂ
- Individual AxisÂ
- Add Reference LinesÂ
- Reference BandsÂ
- Reference DistributionsÂ
- Basic MapsÂ
- Symbol MapÂ
- Google MapsÂ
- Mapbox Maps can be used as a background mapÂ
- WMS Server Map Background MapÂ
Module 5: Learn Tableau Calculations & FiltersÂ
- Calculated FieldsÂ
- Basic Method to Calculate RankÂ
- A New Approach to Calculating RaÂ
- Calculating Running TotalÂ
- Filters IntroductionÂ
- Quick FiltersÂ
- Filters by DimensionsÂ
- Conditional FiltersÂ
- Top and bottom filtersÂ
- Filters on MeasuresÂ
- Context FiltersÂ
- Slicing FlitersÂ
- Data Source FiltersÂ
- Extraction FiltersÂ
Module 6: Learn Tableau DashboardsÂ
- Create a DashboardÂ
- Format Dashboard LayouÂ
- Create a device preview of a dashboardÂ
- Create Filters in DashboardÂ
- Dashboard ObjectsÂ
- Create a StoryÂ
Module 7: ServerÂ
- Tableau online.Â
- Overview of Tableau ServerÂ
- Publishing Tableau objects and scheduling/subscription.Â
- Module 1: Introduction Power BI
- Start Power BIÂ
- Power BI Concepts OverviewÂ
- Power BI is now available for free.Â
- Overview: Power BI data sourcesÂ
- Connect to SaaS solutionsÂ
- Upload a CSV file from your computerÂ
- Connect to Excel data which can be refreshedÂ
- Click on a sample to connectÂ
- Create a report with visualization’sÂ
- Power BI Portal – Explore Power BIÂ
Module 2: Viz & TilesÂ
- Overview of VisualizationsÂ
- Visualizations Create a new reportÂ
- Visualize and create visualizationsÂ
- Format a visualizationÂ
- Create Chart VisualizationsÂ
- Save a report with text, map and gauge visualizationsÂ
- Use the slicer to filter visualisationsÂ
- Sort, copy and paste visualsÂ
- Download and use an image from the galleryÂ
Module 3: Dashboards and ReportsÂ
- Modify and print a reportÂ
- Report pages can be renamed and deletedÂ
- Add a filter on a report or pageÂ
- Set Visualization InteractionsÂ
- Print the report pageÂ
- Sending a report into PowerPointÂ
- Create a DashboardÂ
- Create and manage dashboardsÂ
- A dashboard can be used to pin a tile of a report.Â
- Pin a report page live to a dashboardÂ
- You can pin a tile to another dashboardÂ
- You can pin an Excel element on a dashboard.Â
- Excel: Manage elements that are pinnedÂ
- Add a tile on a dashboardÂ
- Create a dashboard using Quick InsightsÂ
- Set a Featured (default) dashboardÂ
- You may have questions about your dataÂ
- Power BI Q&A allows you to ask a question.Â
- Tweak your dataset for Q&Â
- Enable Cortana for Power BIÂ
Module 4: Publishing Workbooks and WorkspaceÂ
- Share data with colleagues and othersÂ
- Reports can be published on the internetÂ
- Manage publicationsÂ
- Share a dashboardÂ
- Add users to an app workspaceÂ
- App workspaceÂ
- App Store: Publish your appÂ
- Share a tile using QR codesÂ
- Embed a SharePoint Online reportÂ
- Module 5: Power BI Table Relationships and Other ComponentsÂ
- Use Power BI Mobile AppsÂ
- Get Power BI on mobile
- iPad App: View dashboards and reports
- Workspaces are available in the mobile app
- Power BI Mobile: Sharing Power BI Mobile
- Use Power BI Desktop
- Power BI Desktop can be installed and launched.
- Get data
- Reduce data
- Data transformation
- Tables can be related
- Power BI Desktop Data with Power BI Service
- Reports from Power BI Service can be exported to desktopÂ
Module 6: DAX functions
- New Dax functions
- Date and time functions
- Time intelligence functions
- Filter functions
- Information functions
- Logical functions
- Calculate the math & trig functions
- Functions of parents and children
- Text functions
To understand Python basics concepts
- Application: Used to print values and give comments in programs.
- The printed statement
- Comment
- Python Data Types and Data Structures
- String Operations in Python
- Simple Input and Output
- Simple Output Formatting
- Deep Copy
- Shallow Copy
- Operators in Python
Are you looking for the Best Data Analytics Training Course in Bangalore?
Ascent Software Training Institute offers the best Data Analytics course in Bangalore Every organization and firm can benefit from a Data Analyst. They can make better decisions based on the current data. Data analytics are highly in demand and employment is on the rise in India. This subject is appealing to those who are interested in math, informatics and research and analysis. You may be able to get a job after you complete your education if you are one of these people. Ascent Software Training Institute offers a Data Analytics Course that can help you get a job
Data Analytics Courses in Bengaluru FAQs
Why should I learn Data Analytics at Ascent Software Training Institute
Ascent Institute offers the best Data Analytics course in Bangalore. Ascent Institute offers a data analytics course for those who don’t wish to spend hours on coding or programming to become a Data Analyst.
These are the main features of online Data Analytics courses:
- Experience real-life projects and get hands-on training
- You will be working on assignments that are of high quality and relevance to the corporate world
- Apply for Data Analyst and Data Science Jobs in Top MNCs
What is Data Analysis Analysis?
Data analysis is the act of cleansing, transforming and reporting data to produce useful information that can help make business decisions.
What are the requirements to enroll in a Data Analytics Course?
You must have a bachelor’s degree in Statistics, Math, Computer Science or a closely related field.
What are the tools taught in this certification program?
This certificate course will teach you platforms such as spreadsheets, SQL and Presentation Tool.
What are the real-time projects that Data Analytics Training Institute Bangalore is involved with?
Ascent Software Training Institute provides you with the most relevant, current and valuable projects for this course. You can then put the knowledge and skills you have gained in an industry-specific setting to good use. Our training includes a variety of projects that test your learning, practical knowledge, and abilities.
What is the current job market for Data Analytics professionals in Bangalore?
India is the leader on the big data analytics market. The amount of data we have is increasing rapidly due to the changes in the country. Most businesses today find it essential to hire a data expert who can provide valuable insights. Bangalore is the largest IT hub in the country and offers a wide range of job opportunities to data analysts. It is therefore a wise decision to enroll in a data analytics course.
What is the difference between Data Analytics, Business Analytics and Data Science?
Data Analytics, Business Analytics and Data Science are all the exact same thing. The job title of a Data Analyst is used by those in this field
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